Index (keanu-project 0.0.26 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

A - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
a - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
a - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
a - Variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
A_NAME - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
abs() - Method in interface io.improbable.keanu.tensor.NumberTensor
abs() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
abs() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
absInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
absInPlace() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
absInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
absInPlace() - Method in interface io.improbable.keanu.tensor.NumberTensor
absoluteChecker(double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker
absoluteChecker(ConvergenceChecker.Norm, double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker
AbsoluteConvergenceChecker - Class in io.improbable.keanu.algorithms.variational.optimizer
AbsoluteConvergenceChecker() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.AbsoluteConvergenceChecker
absoluteThreshold(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
AbsVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
AbsVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.AbsVertex: Takes the absolute of a vertex
AcceptanceRateTracker - Class in io.improbable.keanu.algorithms.mcmc.proposal
AcceptanceRateTracker() - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker
accuracy(BooleanTensor, BooleanTensor) - Static method in class io.improbable.keanu.model.ModelScoring: Calculates the accuracy of a predicted output, given a true output.
acos() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
acos() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
acosh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
acoshInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
acoshInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
acoshInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
acosInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
acosInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
acosInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
Adam - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient: Implemented as described in https://arxiv.org/pdf/1412.6980.pdf
Adam() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam
Adam.AdamBuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
Adam.AdamStatistics - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
AdamBuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
AdamStatistics() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamStatistics
adaptCount(long) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
AdaptiveQuadraticPotential - Class in io.improbable.keanu.algorithms.mcmc.nuts
AdaptiveQuadraticPotential(double, double, double, int) - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
adaptPotentialEnabled(boolean) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
adaptStepSizeEnabled(boolean) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
add(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
add(VariableReference, VariableReference) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder: Creates an addition operation for the left and right arguments.
add(VariableReference, VariableReference) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
add(SequenceItem) - Method in class io.improbable.keanu.templating.Sequence
add(T) - Method in class io.improbable.keanu.templating.SequenceItem
add(VertexLabel, T) - Method in class io.improbable.keanu.templating.SequenceItem
add(LogProbGradients) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
add(Map<VertexId, DoubleTensor>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
add(PartialsOf) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
add(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
addAll(T...) - Method in class io.improbable.keanu.templating.SequenceItem
addAll(Collection<T>) - Method in class io.improbable.keanu.templating.SequenceItem
addAll(Map<VertexLabel, T>) - Method in class io.improbable.keanu.templating.SequenceItem
addBooleanProxyFor(VertexLabel) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
addBooleanProxyFor(VertexLabel, long[]) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
addBound(VariableReference, DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
addBound(VariableReference, double, DoubleTensor) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
addBound(VariableReference, DoubleTensor, double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
addBound(VariableReference, double, double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
addChild(Vertex<?>) - Method in class io.improbable.keanu.vertices.Vertex
addComponent(StatusBarComponent) - Method in class io.improbable.keanu.util.status.StatusBar
addDoubleProxyFor(VertexLabel) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
addDoubleProxyFor(VertexLabel, long[]) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
addFinishHandler(Runnable) - Method in class io.improbable.keanu.util.status.StatusBar
addFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
addFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
addFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer: Adds a callback to be called whenever the optimizer evaluates the fitness of a point.
addGradientCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer: Adds a callback to be called whenever the optimizer evaluates the gradient at a point.
addi(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
addIntegerProxyFor(VertexLabel) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
addIntegerProxyFor(VertexLabel, long[]) - Method in class io.improbable.keanu.templating.SequenceItem: This method creates a ProxyVertex and adds it to the sequence item It also adds this vertex to the sequence item to represent the vertex with this label in the previous sequence item.
AdditionVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
AdditionVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex: Adds one vertex to another
addParent(Vertex<?>) - Method in class io.improbable.keanu.vertices.Vertex
addParents(Collection<? extends Vertex>) - Method in class io.improbable.keanu.vertices.Vertex
addPrefix(VertexId) - Method in class io.improbable.keanu.vertices.VertexId
addSample(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.VarianceCalculator
algorithm(GradientOptimizationAlgorithm) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder
algorithm(NonGradientOptimizationAlgorithm) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder
all() - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder: Take all indices.
ALL - Static variable in class io.improbable.keanu.tensor.jvm.Slicer.StartStopStep
allFalse() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
allFalse() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
allTrue() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
allTrue() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
alpha(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
and(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
and(boolean) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
and(Vertex<BooleanTensor>...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
and(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
and(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
AndBinaryVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary
AndBinaryVertex(Vertex<BooleanTensor>, Vertex<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.AndBinaryVertex
andInPlace(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
andInPlace(boolean) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
andInPlace(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
andInPlace(boolean) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
AndMultipleVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple
AndMultipleVertex(Collection<? extends Vertex<BooleanTensor>>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.AndMultipleVertex
anyFalse() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
anyFalse() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
anyTrue() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
anyTrue() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
ApacheFitnessFunctionAdapter - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
ApacheFitnessFunctionAdapter() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionAdapter
ApacheFitnessFunctionGradientAdapter - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
ApacheFitnessFunctionGradientAdapter() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionGradientAdapter
appendToLabel(String) - Method in class io.improbable.keanu.util.io.GraphEdge
apply() - Method in class io.improbable.keanu.network.NetworkSnapshot: Revert the state of the network to the previously saved state
apply(Function<DoubleVertex, DoubleVertex>) - Method in class io.improbable.keanu.templating.loop.LoopBuilder.LoopBuilder2: A mandatory method to specify the iteration step
apply(BiFunction<SequenceItem, DoubleVertex, DoubleVertex>) - Method in class io.improbable.keanu.templating.loop.LoopBuilder.LoopBuilder2: A mandatory method to specify the iteration step
apply(Function<Boolean, Boolean>) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
apply(Function<T, T>) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
apply(Function<T, T>) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
apply(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
apply(Function<T, T>) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
apply(Tensor<T, ?>, BiFunction<T, T, R>) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
apply(Function<N, N>) - Method in interface io.improbable.keanu.tensor.NumberTensor
applyInPlace(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
applyInPlace(Function<Integer, Integer>) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
applyInPlace(Function<T, T>) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
applyInPlace(Function<N, N>) - Method in interface io.improbable.keanu.tensor.NumberTensor
applyLeft(BiFunction<Boolean, Boolean, Boolean>, Boolean) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
applyLeft(BiFunction<T, T, T>, T) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
applyLeft(BiFunction<T, T, T>, T) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
applyLeft(BiFunction<Double, Double, Double>, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
applyLeft(BiFunction<T, T, T>, T) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
applyRight(BiFunction<Boolean, Boolean, Boolean>, Boolean) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
applyRight(BiFunction<T, T, T>, T) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
applyRight(BiFunction<T, T, T>, T) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
applyRight(BiFunction<Double, Double, Double>, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
applyRight(BiFunction<T, T, T>, T) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
approximate(Samples<DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.variational.GaussianKDE
approximate(DoubleVertex, Integer) - Static method in class io.improbable.keanu.algorithms.variational.GaussianKDE
arange(double, double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
arange(double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
arange(double, double, double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
arange(double, double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
arange(double, double, double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
arange(double, double) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
arange(double, double, double) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
arange(double, double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
arange(double, double, double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
arange(double, double) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
arange(double, double, double) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
arange(double, double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
arange(double, double, double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
arange(int, int) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
arange(int, int, int) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
arange(double, double) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
arange(int, int) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
ArcCosVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
ArcCosVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex: Takes the inverse cosine of a vertex, Arccos(vertex)
ArcSinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
ArcSinVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex: Takes the inverse sin of a vertex, Arcsin(vertex)
ArcTan2Vertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
ArcTan2Vertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex: Calculates the signed angle, in radians, between the positive x-axis and a ray to the point (x, y) from the origin
ArcTanVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
ArcTanVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex: Takes the inverse tan of a vertex, Arctan(vertex)
argCompare(BiFunction<T, T, Boolean>, int) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
argCompare(JVMBuffer.ArrayWrapperFactory<T, B>, B, BiFunction<T, T, Boolean>, long[], long[], int) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
argCompare(BiFunction<T, T, Boolean>) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
argCompare(B, BiFunction<T, T, Boolean>) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
argMax() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
argMax(int) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
argMax() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
argMax(int) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
argMax() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
argMax(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
argMax() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
argMax(int) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
argMax() - Method in interface io.improbable.keanu.tensor.NumberTensor: Find the index into the flattened array of the tensor of the largest value, e.g.
argMax(int) - Method in interface io.improbable.keanu.tensor.NumberTensor: Find the indices into the tensor of the largest values in a specified axis (dimension), e.g.
argMin(int) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
argMin() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
argMin() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
argMin(int) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
argMin() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
argMin(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
argMin() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
argMin(int) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
argMin() - Method in interface io.improbable.keanu.tensor.NumberTensor
argMin(int) - Method in interface io.improbable.keanu.tensor.NumberTensor
asArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
asArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
asArray() - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
asArray(long, long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
asArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
asArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
asArray() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
asArray() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericWrapper
asArray() - Method in interface io.improbable.keanu.tensor.generic.GenericBuffer.PrimitiveGenericWrapper
asBooleanArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
asBooleanArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
asBooleanArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanBuffer.PrimitiveBooleanWrapper
asColumns(List<? extends Vertex<? extends Tensor>>) - Static method in class io.improbable.keanu.util.csv.WriteCsv
asColumns(Vertex<? extends Tensor>...) - Static method in class io.improbable.keanu.util.csv.WriteCsv
asDoubleArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
asDoubleArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
asDoubleArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanBuffer.PrimitiveBooleanWrapper
asDoubleArray() - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
asDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
asDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
asFlatArray() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
asFlatArray() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
asFlatArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
asFlatArray() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
asFlatArray() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
asFlatArray() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
asFlatArray() - Method in interface io.improbable.keanu.tensor.Tensor
asFlatBooleanArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
asFlatBooleanArray() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
asFlatDoubleArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
asFlatDoubleArray() - Method in interface io.improbable.keanu.tensor.NumberTensor
asFlatIntegerArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
asFlatIntegerArray() - Method in interface io.improbable.keanu.tensor.NumberTensor
asFlatList() - Method in interface io.improbable.keanu.tensor.Tensor
asin() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
asin() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
asinh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
asinhInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
asinhInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
asinhInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
asinInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
asinInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
asinInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
asIntegerArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
asIntegerArray() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
asIntegerArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanBuffer.PrimitiveBooleanWrapper
asIntegerArray() - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
asIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
asIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
asList() - Method in class io.improbable.keanu.algorithms.Samples
asList() - Method in class io.improbable.keanu.templating.Sequence
asMap() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsOf
asRows(List<? extends Vertex<? extends Tensor>>) - Static method in class io.improbable.keanu.util.csv.WriteCsv
asRowsDefinedBy(Class<T>) - Method in class io.improbable.keanu.util.csv.CsvReader
asSamples(NetworkSamples, List<? extends Vertex<? extends Tensor>>) - Static method in class io.improbable.keanu.util.csv.WriteCsv
asSamples(NetworkSamples, Vertex<? extends Tensor>...) - Static method in class io.improbable.keanu.util.csv.WriteCsv
assertion(BooleanTensor, String, String) - Static method in class io.improbable.keanu.vertices.utility.AssertVertex
assertTrue() - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
assertTrue(String) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
AssertVertex - Class in io.improbable.keanu.vertices.utility
AssertVertex(Vertex<? extends BooleanTensor>, String) - Constructor for class io.improbable.keanu.vertices.utility.AssertVertex: A vertex that asserts a BooleanVertex is all true on calculation.
AssertVertex(Vertex<? extends BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.utility.AssertVertex
asTensor() - Method in class io.improbable.keanu.algorithms.Samples
asTensor() - Method in class io.improbable.keanu.vertices.bool.BooleanVertexSamples
asTensor() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertexSamples
asTensor() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertexSamples
asVectorizedColumnsDefinedBy(Class<T>) - Method in class io.improbable.keanu.util.csv.CsvReader
atan() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atan() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
atan2(N) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atan2(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atan2(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
atan2(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
atan2InPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
atan2InPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
atan2InPlace(N) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atan2InPlace(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atan2InPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
atan2InPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
atanh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atanhInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
atanhInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atanhInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
atanInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
atanInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
atanInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
Autocorrelation - Class in io.improbable.keanu.algorithms.statistics
Autocorrelation() - Constructor for class io.improbable.keanu.algorithms.statistics.Autocorrelation
AutoDiffBroadcast - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff: This class is meant to help with auto diff in operations that support implicit broadcasting.
AutoDiffBroadcast() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.AutoDiffBroadcast
average(Enum) - Method in class io.improbable.keanu.algorithms.Statistics
average() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
average() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
average() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
average() - Method in interface io.improbable.keanu.tensor.NumberTensor
AverageTimeComponent - Class in io.improbable.keanu.util.status: StatusBarComponent that renders the average time algorithm steps are taking in the form of steps per second, also shows elapsed time.
AverageTimeComponent() - Constructor for class io.improbable.keanu.util.status.AverageTimeComponent

B

B - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
b - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
b - Variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
B_NAME - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
backedBy(Map<VertexLabel, Vertex<?>>) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary
backedBy(Map<VertexLabel, Vertex<?>>, Map<VertexLabel, Vertex<?>>) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary
backedBy(Map<VertexLabel, Vertex<?>>) - Static method in interface io.improbable.keanu.vertices.VertexDictionary
BAD_OBSERVATION_WARNING - Static variable in exception io.improbable.keanu.vertices.NonProbabilisticObservationException
BayesianNetwork - Class in io.improbable.keanu.network
BayesianNetwork(Set<? extends Vertex>) - Constructor for class io.improbable.keanu.network.BayesianNetwork
BayesianNetwork(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.network.BayesianNetwork
Bernoulli - Class in io.improbable.keanu.distributions.discrete
BernoulliVertex - Class in io.improbable.keanu.vertices.bool.probabilistic
BernoulliVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex: One probTrue that must match a proposed tensor shape of Bernoulli.
BernoulliVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex: One to one constructor for mapping some shape of probTrue to a matching shaped Bernoulli.
BernoulliVertex(double) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
BernoulliVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
Beta - Class in io.improbable.keanu.distributions.continuous
BETA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
beta1(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
beta2(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
BetaVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
BetaVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex: One alpha or beta or both that match a proposed tensor shape of Beta.
BetaVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex: One to one constructor for mapping some tensorShape of alpha and beta to a matching tensorShaped Beta.
BetaVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
BetaVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
BetaVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
BetaVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
BetaVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
BetaVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
bfsWithFailureCondition(Collection<Vertex>, Predicate<Vertex>, Function<Vertex, Collection<Vertex>>, Consumer<Collection<Vertex>>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.BreadthFirstSearch
BinaryOpLambda<A,B,C> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary
BinaryOpLambda(Vertex<A>, Vertex, BiFunction<A, B, C>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpLambda
BinaryOpVertex<A,B,C> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary
BinaryOpVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
Binomial - Class in io.improbable.keanu.distributions.discrete
BinomialVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic
BinomialVertex(long[], DoubleVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(long[], double, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(long[], DoubleVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(long[], double, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(DoubleVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(double, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(DoubleVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BinomialVertex(double, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
BivariateDataStatisticsCalculator - Class in io.improbable.keanu.tensor: Calculates common statistics of a 2-dimensional data set Treats xData and yData as a series of points in the data set - their shapes must match.
BivariateDataStatisticsCalculator(DoubleTensor, DoubleTensor) - Constructor for class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator
BOBYQA - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
BOBYQA() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA
BOBYQA.BOBYQABuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
BOBYQABuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
BooleanArrayWrapper(boolean[]) - Constructor for class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
BooleanArrayWrapperFactory() - Constructor for class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapperFactory
BooleanBinaryOpLambda<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary
BooleanBinaryOpLambda(long[], Vertex<A>, Vertex, BiFunction<A, B, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpLambda
BooleanBinaryOpVertex<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary
BooleanBinaryOpVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
BooleanBinaryOpVertex(long[], Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
BooleanBuffer - Class in io.improbable.keanu.tensor.bool
BooleanBuffer() - Constructor for class io.improbable.keanu.tensor.bool.BooleanBuffer
BooleanBuffer.BooleanArrayWrapper - Class in io.improbable.keanu.tensor.bool
BooleanBuffer.BooleanArrayWrapperFactory - Class in io.improbable.keanu.tensor.bool
BooleanBuffer.BooleanWrapper - Class in io.improbable.keanu.tensor.bool
BooleanBuffer.PrimitiveBooleanWrapper - Interface in io.improbable.keanu.tensor.bool
BooleanConcatenationVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple
BooleanConcatenationVertex(int, BooleanVertex...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex: A vertex that can concatenate any amount of vertices along a given dimension.
BooleanConcatenationVertex(int, Vertex[]) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
BooleanCPTBuilder(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, BooleanVertex>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder
BooleanCPTVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic
BooleanCPTVertex(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, BooleanVertex>, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanCPTVertex
BooleanIfThenElseBuilder(BooleanVertex, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder
BooleanIfVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic
BooleanIfVertex(BooleanVertex, BooleanVertex, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
BooleanModelResultVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators: A non-probabilistic boolean vertex whose value is extracted from an upstream model vertex.
BooleanModelResultVertex(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.BooleanModelResultVertex
BooleanPlaceholderVertex - Class in io.improbable.keanu.vertices.bool
BooleanPlaceholderVertex(long...) - Constructor for class io.improbable.keanu.vertices.bool.BooleanPlaceholderVertex
BooleanPlaceholderVertex(BooleanVertex) - Constructor for class io.improbable.keanu.vertices.bool.BooleanPlaceholderVertex
BooleanProxyVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic
BooleanProxyVertex(VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex: This vertex acts as a "Proxy" to allow a BayesNet to be built up before parents are explicitly known (ie for model in model scenarios) but allows linking at a later point in time.
BooleanProxyVertex(long[], VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
BooleanProxyVertex(long[], String, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
BooleanProxyVertex(long[], String) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
BooleanReduceVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple
BooleanReduceVertex(long[], Collection<? extends Vertex<BooleanTensor>>, BiFunction<BooleanTensor, BooleanTensor, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanReduceVertex
BooleanReduceVertex(long[], BiFunction<BooleanTensor, BooleanTensor, BooleanTensor>, Vertex<BooleanTensor>...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanReduceVertex
BooleanReshapeVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary: Returns the supplied vertex with a new shape of the same length
BooleanReshapeVertex(Vertex<BooleanTensor>, long...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanReshapeVertex
BooleanSliceVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
BooleanSliceVertex(Vertex<BooleanTensor>, int, long) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex: Takes the slice along a given dimension and index of a vertex
BooleanTakeVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
BooleanTakeVertex(Vertex<BooleanTensor>, long...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanTakeVertex: A vertex that extracts a scalar at a given index
BooleanTensor - Interface in io.improbable.keanu.tensor.bool
BooleanUnaryOpLambda<A extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
BooleanUnaryOpLambda(long[], Vertex<A>, Function<A, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpLambda
BooleanUnaryOpVertex<T extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
BooleanUnaryOpVertex(Vertex<T>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
BooleanUnaryOpVertex(long[], Vertex<T>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
BooleanVertex - Class in io.improbable.keanu.vertices.bool
BooleanVertex(long[]) - Constructor for class io.improbable.keanu.vertices.bool.BooleanVertex
BooleanVertexSamples - Class in io.improbable.keanu.vertices.bool
BooleanVertexSamples(List<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.BooleanVertexSamples
booleanWhere(BooleanTensor, BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
booleanWhere(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
BooleanWrapper(boolean) - Constructor for class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
boundsRange(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
BreadthFirstSearch - Class in io.improbable.keanu.algorithms.graphtraversal
BreadthFirstSearch() - Constructor for class io.improbable.keanu.algorithms.graphtraversal.BreadthFirstSearch
broadcast(long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
broadcast(long...) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
broadcast(B, long[], long[], B, long[]) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensorBroadcast
broadcast(long...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
broadcast(long...) - Method in interface io.improbable.keanu.tensor.Tensor
broadcastableBinaryOpWithAutoBroadcast(BiFunction<T, T, T>, JVMTensor<T, TENSOR, B>) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
BroadcastableBooleanOperations - Enum in io.improbable.keanu.tensor.bool
BroadcastableDoubleOperations - Enum in io.improbable.keanu.tensor.dbl
broadcastIfNeeded(JVMBuffer.ArrayWrapperFactory<OUT, OUTBUFFER>, INBUFFER, long[], long[], long, INBUFFER, long[], long[], long, BiFunction<IN, IN, OUT>, boolean) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensorBroadcast
buffer - Variable in class io.improbable.keanu.tensor.jvm.JVMTensor
build() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
build() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
build() - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
build() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
build() - Method in class io.improbable.keanu.algorithms.sampling.Forward.ForwardBuilder
build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder
build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder
build() - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
build() - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
build() - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
build() - Method in class io.improbable.keanu.templating.SequenceBuilder.FromCountFactories
build() - Method in class io.improbable.keanu.templating.SequenceBuilder.FromDataFactories
build() - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
builder() - Static method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings
builder() - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS
builder() - Static method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing
builder() - Static method in class io.improbable.keanu.algorithms.sampling.Forward
builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam
builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient
builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA
builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
builder() - Static method in class io.improbable.keanu.Keanu.Sampling.Forward
builder() - Static method in class io.improbable.keanu.Keanu.Sampling.MetropolisHastings
builder() - Static method in class io.improbable.keanu.Keanu.Sampling.NUTS
builder() - Static method in class io.improbable.keanu.Keanu.Sampling.SimulatedAnnealing
builder() - Static method in class io.improbable.keanu.tensor.jvm.Slicer
builderFor(Set<Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient
builderFor(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient
builderFor(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient
builderFor(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient
buildWithoutFitting() - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder

C

C - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
calculate(double[]) - Static method in class io.improbable.keanu.algorithms.statistics.Autocorrelation: Calculates the autocorrelation of an array of doubles.
calculate() - Method in class io.improbable.keanu.vertices.bool.BooleanPlaceholderVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanCPTVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.CastToBooleanVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.BooleanModelResultVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanReduceVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
calculate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.DoublePlaceholderVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastToDoubleVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleModelResultVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary.DoubleSetWithMaskVertex
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantGenericTensorVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantGenericVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.IntegerPlaceholderVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastToIntegerVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerCPTVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.IntegerModelResultVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
calculate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
calculate() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex: This vertex stores multiple values in a key value pair of label to result.
calculate() - Method in class io.improbable.keanu.vertices.model.ModelResult
calculate() - Method in interface io.improbable.keanu.vertices.NonProbabilistic
calculate() - Method in class io.improbable.keanu.vertices.utility.AssertVertex
calculateCurrentVariance() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.VarianceCalculator
calculateLogProbFor(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.vertices.ProbabilityCalculator
calculateSampleProbability(boolean) - Method in class io.improbable.keanu.algorithms.sampling.Forward.ForwardBuilder
calculateShapeForLengthOneBroadcast(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
cascadeObservations() - Method in class io.improbable.keanu.network.BayesianNetwork
cascadeUpdate(Vertex...) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
cascadeUpdate(Vertex) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
cascadeUpdate(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
cascadeValues(Map<VariableReference, ?>) - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
CastToBooleanVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic
CastToBooleanVertex(Vertex<? extends BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.CastToBooleanVertex
CastToDoubleVertex<T extends NumberTensor> - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
CastToDoubleVertex(Vertex<T>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastToDoubleVertex
castToInteger(INDArray, boolean) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayExtensions
CastToIntegerVertex<T extends NumberTensor> - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
CastToIntegerVertex(Vertex<T>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastToIntegerVertex
Categorical<CATEGORY> - Class in io.improbable.keanu.distributions.discrete
CategoricalVertex<CATEGORY> - Class in io.improbable.keanu.vertices.generic.probabilistic.discrete
CategoricalVertex(long[], Map<CATEGORY, DoubleVertex>) - Constructor for class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
CategoricalVertex(Map<CATEGORY, DoubleVertex>) - Constructor for class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
Cauchy - Class in io.improbable.keanu.distributions.continuous
CauchyVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
CauchyVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex: One location or scale or both that match a proposed tensor shape of Cauchy
CauchyVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
CauchyVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
ceil() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
ceil() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
ceilInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
ceilInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
ceilInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
CeilVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
CeilVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CeilVertex: Applies the Ceiling operator to a vertex.
ChangeValueTo<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate.policy
changeValueTo(DATATYPE) - Static method in interface io.improbable.keanu.tensor.validate.policy.TensorValidationPolicy
check(TENSOR) - Method in class io.improbable.keanu.tensor.validate.check.CustomElementwiseTensorValueChecker
check(TENSOR) - Method in class io.improbable.keanu.tensor.validate.check.CustomTensorValueChecker
check(TENSOR) - Method in interface io.improbable.keanu.tensor.validate.check.TensorValueChecker
check(TENSOR) - Method in class io.improbable.keanu.tensor.validate.check.TensorValueNotEqualsCheck
check(TENSOR) - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator
check(DoubleTensor) - Method in class io.improbable.keanu.tensor.validate.NaNFixingTensorValidator
check(TENSOR) - Method in class io.improbable.keanu.tensor.validate.TensorCheckAndRespondValidator
checkAllShapesMatch(long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkAllShapesMatch(String, long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkAllShapesMatch(String, Collection<long[]>) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkAllShapesMatch(Collection<long[]>) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkDimensionExistsInShape(int, long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation: Check if the given dimension exists within the shape
checkHasOneNonLengthOneShapeOrAllLengthOne(long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation: This ensures there is at most a single non length one shape.
checkIndexIsValid(long[], long...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkInitialFitnessConditions(boolean) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder
checkInitialFitnessConditions(boolean) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder
checkIsBroadcastable(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkShapeIsSquareMatrix(long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkShapesCanBeConcatenated(int, long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkShapesMatch(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkTensorsAreScalar(String, long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
checkTensorsMatchNonLengthOneShapeOrAreLengthOne(long[], long[]...) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation: This is a common function to check that tensors are either the same shape of the proposal in question OR length one.
checkTernaryConditionShapeIsValid(long[], long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
ChiSquared - Class in io.improbable.keanu.distributions.continuous
ChiSquaredVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
ChiSquaredVertex(long[], IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex: One k that must match a proposed tensor shape of ChiSquared
ChiSquaredVertex(long[], int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
ChiSquaredVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex: One to one constructor for mapping some shape of k to a matching shaped ChiSquared.
ChiSquaredVertex(int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
choleskyDecomposition() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
choleskyDecomposition() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
choleskyDecomposition() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
clamp(T, T) - Method in interface io.improbable.keanu.tensor.NumberTensor
clampInPlace(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
clampInPlace(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
clampInPlace(TENSOR, TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
clampInPlace(TENSOR, TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
clampInPlace(T, T) - Method in interface io.improbable.keanu.tensor.NumberTensor
clearGraph() - Method in class io.improbable.keanu.util.io.ProtobufSaver
close() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
close() - Method in interface io.improbable.keanu.backend.ComputableGraph
coefficientOfDetermination(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.model.ModelScoring: Calculates the coefficient of determination - i.e.
ColumnsVectorizedObjectParser<T> - Class in io.improbable.keanu.util.csv.pojo.bycolumn
ColumnsVectorizedObjectParser(Class<T>, Stream<List<String>>, List<String>) - Constructor for class io.improbable.keanu.util.csv.pojo.bycolumn.ColumnsVectorizedObjectParser
ColumnWriter - Class in io.improbable.keanu.util.csv
ColumnWriter(List<? extends Vertex<? extends Tensor>>, String) - Constructor for class io.improbable.keanu.util.csv.ColumnWriter
ColumnWriter(List<? extends Vertex<? extends Tensor>>) - Constructor for class io.improbable.keanu.util.csv.ColumnWriter
combine(SimpleVertexDictionary, SimpleVertexDictionary) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary
compareTo(Diff) - Method in class io.improbable.keanu.distributions.hyperparam.Diff
compareTo(VertexId) - Method in class io.improbable.keanu.vertices.VertexId
composeModel(BayesianNetwork, Map<VertexLabel, Vertex>, List<VertexLabel>) - Static method in class io.improbable.keanu.network.ModelComposition: Connects one model within an other, marking it such that it's clear this is a nested model
ComputableGraph - Interface in io.improbable.keanu.backend
ComputableGraphBuilder<T extends ComputableGraph> - Interface in io.improbable.keanu.backend
compute(QDistribution, NetworkSamples) - Static method in class io.improbable.keanu.algorithms.variational.KLDivergence
compute(ProbabilisticDouble, NetworkSamples) - Static method in class io.improbable.keanu.algorithms.variational.KLDivergence
compute(Map<VariableReference, ?>) - Method in interface io.improbable.keanu.backend.ComputableGraph
compute(Map<VariableReference, ?>) - Method in class io.improbable.keanu.backend.keanu.KeanuComputableGraph
concat(int, BooleanTensor...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
concat(int, BooleanTensor...) - Static method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
concat(DoubleTensor...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
concat(int, DoubleTensor...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
concat(int, DoubleTensor...) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
concat(int, DoubleTensor...) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
concat(int, DoubleTensor...) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
concat(int, DoubleTensor...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
concat(IntegerTensor...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
concat(int, IntegerTensor...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
concat(JVMBuffer.ArrayWrapperFactory<T, B>, Tensor[], int, List) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
concat(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
concat(int, BooleanVertex...) - Static method in class io.improbable.keanu.vertices.bool.BooleanVertex
concat(int, DoubleVertex...) - Static method in class io.improbable.keanu.vertices.dbl.DoubleVertex
concat(List<PartialDerivative>, List<DoubleTensor>, int) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
concat(int, IntegerVertex...) - Static method in class io.improbable.keanu.vertices.intgr.IntegerVertex
ConcatenationVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple
ConcatenationVertex(int, DoubleVertex...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex: A vertex that can concatenate any amount of vertices along a given dimension.
ConcatenationVertex(int, Vertex[]) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
concatOnDimensionZero(JVMBuffer.ArrayWrapperFactory<T, B>, long[], List) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
CONDITION_LABEL - Static variable in class io.improbable.keanu.templating.loop.Loop
ConditionalProbabilityTable - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.BooleanCPTBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.BooleanCPTBuilder.BooleanCPTWhenBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.CPTBuilder<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.CPTBuilder.CPTWhenBuilder<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.CPTRawBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.CPTWhenRawBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.DoubleCPTBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.DoubleCPTBuilder.DoubleCPTWhenBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.IntegerCPTBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConditionalProbabilityTable.IntegerCPTBuilder.IntegerCPTWhenBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConjugateGradient - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
ConjugateGradient() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient
ConjugateGradient.ConjugateGradientBuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
ConjugateGradient.UpdateFormula - Enum in io.improbable.keanu.algorithms.variational.optimizer.gradient
ConjugateGradientBuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
connect(Map<? extends Vertex<?>, ? extends Vertex<?>>) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
connect(Map<? extends Vertex<?>, ? extends Vertex<?>>) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
ConstantBooleanVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic
ConstantBooleanVertex(BooleanTensor) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
ConstantBooleanVertex(boolean) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
ConstantBooleanVertex(boolean[]) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
ConstantBooleanVertex(boolean[], long[]) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
ConstantDoubleVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
ConstantDoubleVertex(DoubleTensor) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
ConstantDoubleVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
ConstantDoubleVertex(double...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
ConstantDoubleVertex(double[], long[]) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
ConstantGenericTensorVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConstantGenericTensorVertex(GenericTensor<T>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantGenericTensorVertex
ConstantGenericVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
ConstantGenericVertex(T) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantGenericVertex
ConstantIntegerVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
ConstantIntegerVertex(IntegerTensor) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
ConstantIntegerVertex(int[]) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
ConstantIntegerVertex(int) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
ConstantIntegerVertex(int[], long[]) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
ConstantVertex - Interface in io.improbable.keanu.vertices
ContinuousDistribution - Interface in io.improbable.keanu.distributions
ContinuousPoint - Class in io.improbable.keanu.network.grouping
ContinuousPoint(double[]) - Constructor for class io.improbable.keanu.network.grouping.ContinuousPoint
ContinuousPointGrouper - Interface in io.improbable.keanu.network.grouping.continuouspointgroupers
contradictsObservation() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
contradictsObservation() - Method in interface io.improbable.keanu.vertices.NonProbabilistic
ConvergenceChecker - Interface in io.improbable.keanu.algorithms.variational.optimizer
convergenceChecker(ConvergenceChecker) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
ConvergenceChecker.Norm - Enum in io.improbable.keanu.algorithms.variational.optimizer
convert(Collection<? extends Vertex>, Collection<? extends Vertex>) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
convert(Collection<? extends Vertex>) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
convert(BayesianNetwork) - Static method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledProbabilisticGraph: Takes a BayesianNetwork and converts it to a KeanuCompiledProbabilisticGraph.
convertFromFlatIndexToPermutedFlatIndex(long, long[], long[], long[], long[], int[]) - Static method in class io.improbable.keanu.tensor.TensorShape
convertFromPoint(double[], List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
convertLogProbObservation(BayesianNetwork, ComputableGraphBuilder<?>) - Static method in class io.improbable.keanu.backend.ProbabilisticGraphConverter
convertLogProbPrior(BayesianNetwork, ComputableGraphBuilder<?>) - Static method in class io.improbable.keanu.backend.ProbabilisticGraphConverter
convertToArrayPoint(List<? extends Variable<? extends NumberTensor, ?>>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
convertToMapPoint(List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
copy() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
copy() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
copy() - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
copy() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
copy() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
copy() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
copy() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericWrapper
copyFrom(JVMBuffer.PrimitiveArrayWrapper<Boolean, ?>, long, long, long) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
copyFrom(JVMBuffer.PrimitiveArrayWrapper<T, ?>, long, long, long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
copyFrom(JVMBuffer.PrimitiveArrayWrapper<T, ?>, long, long, long) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
copyFrom(JVMBuffer.PrimitiveArrayWrapper<Double, ?>, long, long, long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
copyFrom(JVMBuffer.PrimitiveArrayWrapper<T, ?>, long, long, long) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
correctForBroadcastPartialForward(PartialDerivative, long[], long[]) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.AutoDiffBroadcast
correctForBroadcastPartialReverse(PartialDerivative, long[], long[]) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.AutoDiffBroadcast
cos() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
cos() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
cosh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
coshInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
coshInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
coshInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
cosInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
cosInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
cosInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
CosVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
CosVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex: Takes the cosine of a vertex, Cos(vertex)
count(int) - Method in class io.improbable.keanu.templating.SequenceBuilder: Build a fixed number of sequence items without additional data
CPTBuilder(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, Vertex<GenericTensor<T>>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder
CPTCondition - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
CPTCondition() - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTCondition
CPTRawBuilder(List<Vertex<? extends Tensor<?, ?>>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTRawBuilder
CPTVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
CPTVertex(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, ? extends Vertex<GenericTensor<T>>>, Vertex<GenericTensor<T>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTVertex
CPTWhenRawBuilder(List<?>, List<Vertex<? extends Tensor<?, ?>>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
create(Vertex) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
create(Vertex) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
create(Set<? extends Vertex>) - Static method in class io.improbable.keanu.network.NetworkSnapshot
create(boolean[]) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapperFactory
create(boolean, long[]) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
create(boolean[], long...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
create(boolean...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
create(BooleanBuffer.PrimitiveBooleanWrapper, long[], long[]) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
create(boolean[], long...) - Static method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
create(boolean, long...) - Static method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
create(double[]) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
create(double, long[]) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
create(double[], long...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
create(double...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
create(double, long[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
create(double[], long[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
create(double[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
create(DoubleBuffer.PrimitiveDoubleWrapper, long[], long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
create(double[], long...) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
create(double, long...) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
create(double, long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
create(double[], long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
create(double[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
create(INDArray) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
create(double[], long...) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
create(double, long...) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
create(double[]) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
create(double, long[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
create(double[], long[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
create(double[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
create(T[]) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapperFactory
create(T...) - Static method in class io.improbable.keanu.tensor.generic.GenericTensor
create(T[], long[]) - Static method in class io.improbable.keanu.tensor.generic.GenericTensor
create(GenericBuffer.PrimitiveGenericWrapper<T>, long[], long[]) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
create(int, long[]) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
create(int[], long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
create(int...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
create(long[], long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor: Creates an IntegerTensor from a long[].
create(long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor: Creates an IntegerTensor from a long[].
create(int[], long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
create(int, long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
create(INDArray) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
create(B, long[], long[]) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
create(INDArray) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
create(double[], long[]) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
create(int[], long[]) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
create(DATA[], long[]) - Static method in interface io.improbable.keanu.tensor.Tensor
createConstant(Vertex) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
createConstant(Vertex) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
createDescription(Vertex<?>) - Method in class io.improbable.keanu.util.DescriptionCreator: This method constructs an equation to describe how a vertex is calculated.
createFilled(T, long[]) - Static method in class io.improbable.keanu.tensor.generic.GenericTensor
createFilled(DATA, long[]) - Static method in interface io.improbable.keanu.tensor.Tensor
createFitnessStatusBar(Optimizer) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
createFitterForGraph() - Method in enum io.improbable.keanu.model.regression.RegressionRegularization
createFitterForGraph() - Method in class io.improbable.keanu.model.SamplingModelFitting
createFromProcess(Map<VertexLabel, Vertex<? extends Tensor>>, String, Supplier<Map<VertexLabel, Vertex<? extends Tensor>>>) - Static method in class io.improbable.keanu.vertices.model.LambdaModelVertex: A vertex whose operation is the execution of a command line process.
createNew(long) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapperFactory
createNew(Boolean) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapperFactory
createNew(long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.ArrayWrapperFactory
createNew(D) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.ArrayWrapperFactory
createNew(long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
createNew(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
createNew(long) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapperFactory
createNew(T) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapperFactory
createVariable(Vertex) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
createVariable(Vertex) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
CsvCellConsumer<T> - Interface in io.improbable.keanu.util.csv.pojo.byrow: A CsvCellConsumer is a function that takes some object and some String value and applies the String value to the object.
CsvColumnConsumer<T> - Interface in io.improbable.keanu.util.csv.pojo.bycolumn: A CsvColumnConsumer is a function that takes some object and some list of String values (a column) and applies the list to the object.
CsvProperty - Annotation Type in io.improbable.keanu.util.csv.pojo
CsvReader - Class in io.improbable.keanu.util.csv
CsvReader(Supplier<Reader>) - Constructor for class io.improbable.keanu.util.csv.CsvReader
cumProd(INDArray, int) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayExtensions: Cumulative prod along a dimension.
cumProd(int) - Method in interface io.improbable.keanu.tensor.NumberTensor
cumProdInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
cumProdInPlace(int) - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
cumProdInPlace(int) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
cumProdInPlace(int) - Method in interface io.improbable.keanu.tensor.NumberTensor
cumSum(int) - Method in interface io.improbable.keanu.tensor.NumberTensor
cumSumInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
cumSumInPlace(int) - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
cumSumInPlace(int) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
cumSumInPlace(int) - Method in interface io.improbable.keanu.tensor.NumberTensor
CustomElementwiseTensorValueChecker<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate.check
CustomElementwiseTensorValueChecker(Function<DATATYPE, Boolean>) - Constructor for class io.improbable.keanu.tensor.validate.check.CustomElementwiseTensorValueChecker
CustomTensorValueChecker<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate.check
CustomTensorValueChecker(Function<TENSOR, BooleanTensor>) - Constructor for class io.improbable.keanu.tensor.validate.check.CustomTensorValueChecker

D

DBSCANContinuousPointGrouper - Class in io.improbable.keanu.network.grouping.continuouspointgroupers
DBSCANContinuousPointGrouper(double, int) - Constructor for class io.improbable.keanu.network.grouping.continuouspointgroupers.DBSCANContinuousPointGrouper
DebugTensorValidator<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate
DebugTensorValidator(TensorValidator<DATATYPE, TENSOR>) - Constructor for class io.improbable.keanu.tensor.validate.DebugTensorValidator
DEFAULT_ALLOWED_PROBABILITY_ERROR - Static variable in class io.improbable.keanu.distributions.discrete.Multinomial
DEFAULT_EMPTY_VALUE - Static variable in class io.improbable.keanu.util.csv.Writer
DEFAULT_ESCAPE_CHAR - Static variable in class io.improbable.keanu.util.csv.Writer
DEFAULT_LINE_END - Static variable in class io.improbable.keanu.util.csv.Writer
DEFAULT_MAX_COUNT - Static variable in class io.improbable.keanu.templating.loop.Loop
DEFAULT_QUOTE_CHAR - Static variable in class io.improbable.keanu.util.csv.Writer
DEFAULT_SEPARATOR - Static variable in class io.improbable.keanu.util.csv.Writer
DEFAULT_START - Static variable in class io.improbable.keanu.tensor.jvm.Slicer.StartStopStep
DEFAULT_STEP - Static variable in class io.improbable.keanu.tensor.jvm.Slicer.StartStopStep
DescriptionCreator - Class in io.improbable.keanu.util
DescriptionCreator() - Constructor for class io.improbable.keanu.util.DescriptionCreator
determinant() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
determinant() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
determinant() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
dgetrf(int, int, double[], int[]) - Static method in class io.improbable.keanu.tensor.dbl.KeanuLapack: https://software.intel.com/en-us/mkl-developer-reference-c-getrf
dgetri(int, double[], int[]) - Static method in class io.improbable.keanu.tensor.dbl.KeanuLapack: https://software.intel.com/en-us/mkl-developer-reference-c-getri
diag() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
diag() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
diag(int, long[], B, JVMBuffer.ArrayWrapperFactory<T, B>) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
diag() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
diag() - Method in interface io.improbable.keanu.tensor.Tensor
didConverge() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamStatistics
Diff - Class in io.improbable.keanu.distributions.hyperparam: A Diff is identified only by its name so that you can store it in io.improbable.keanu.distributions.dual.Diffs
Diff(ParameterName) - Constructor for class io.improbable.keanu.distributions.hyperparam.Diff
Diff(ParameterName, DoubleTensor) - Constructor for class io.improbable.keanu.distributions.hyperparam.Diff
DifferenceVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DifferenceVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex: Subtracts one vertex from another
Differentiable - Interface in io.improbable.keanu.vertices.dbl
DifferentiableChecker - Class in io.improbable.keanu.algorithms.graphtraversal: Utility class for checking whether the given vertices are all differentiable w.r.t latents.
DifferentiableChecker() - Constructor for class io.improbable.keanu.algorithms.graphtraversal.DifferentiableChecker
Differentiator - Class in io.improbable.keanu.vertices.dbl
Differentiator() - Constructor for class io.improbable.keanu.vertices.dbl.Differentiator
Diffs - Class in io.improbable.keanu.distributions.hyperparam
Diffs() - Constructor for class io.improbable.keanu.distributions.hyperparam.Diffs
digamma() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
digammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
digammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
digammaInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
DimensionIndexMapper - Class in io.improbable.keanu.tensor.jvm
DimensionIndexMapper(long[], long[], int, long) - Constructor for class io.improbable.keanu.tensor.jvm.DimensionIndexMapper
dimensionRange(int, int) - Static method in class io.improbable.keanu.tensor.TensorShape
Dirichlet - Class in io.improbable.keanu.distributions.continuous
DirichletVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
DirichletVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex: Dirichlet distribution.
DirichletVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex: Matches a vector of concentration values to a Dirichlet distribution
DirichletVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex: Matches a scalar concentration value to a desired shape of a Dirichlet distribution
DirichletVertex(double...) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex: Matches a vector of concentration values to a Dirichlet distribution
disable() - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator
disable() - Static method in class io.improbable.keanu.util.status.StatusBar: Disables all status bars globally
DiscoverGraph - Class in io.improbable.keanu.algorithms.graphtraversal
DiscreteDistribution - Interface in io.improbable.keanu.distributions
DiscretePoint - Class in io.improbable.keanu.network.grouping
DiscretePoint(Object[]) - Constructor for class io.improbable.keanu.network.grouping.DiscretePoint
DisplayInformationForOutput - Annotation Type in io.improbable.keanu.annotation: Annotation used for vertex classes to specify how they should be exported to a DOT file.
Distribution<T> - Interface in io.improbable.keanu.distributions
div(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
div(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
div(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
div(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
div(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
div(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
div(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
div(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
div(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
div(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
div(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
div(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
divi(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
divide(Map<VariableReference, DoubleTensor>, double) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
divideBy(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
divideBy(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
divideBy(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
divideBy(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
divideBy(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
divideByAlongOfDimensions(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
divideByAlongOfDimensions(DoubleTensor, int) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
divInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
divInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
divInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
divInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
divInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
divInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
divInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
divInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
DivisionVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DivisionVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex: Divides one vertex by another
dLogPdf(double, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPdf(double, Vertex...) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPdf(double[], Set<Vertex>) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPdf(double[], Vertex...) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPdf(DoubleTensor, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPdf(DoubleTensor, Vertex...) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
dLogPmf(boolean, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
dLogPmf(boolean[], Set<Vertex>) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
dLogPmf(BooleanTensor, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
dLogPmf(int, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
dLogPmf(int[], Set<Vertex>) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
dLogPmf(IntegerTensor, Set<Vertex>) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Beta
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Cauchy
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.ChiSquared
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Dirichlet
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Exponential
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Gamma
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Gaussian
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.InverseGamma
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Laplace
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Logistic
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.LogNormal
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Pareto
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.SmoothUniform
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.StudentT
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Triangular
dLogProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Uniform
dLogProb(DoubleTensor) - Method in interface io.improbable.keanu.distributions.ContinuousDistribution
dLogProb(BooleanTensor) - Method in class io.improbable.keanu.distributions.discrete.Bernoulli
dLogProb(BooleanTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
dLogProb(DoubleTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
dLogProb(GenericTensor<CATEGORY>, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
dLogProb(IntegerTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
dLogProb(IntegerTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
dLogProb(IntegerTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
dLogProb(IntegerTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
dLogProb(IntegerTensor, Set<? extends Vertex>) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
dLogProb(T, Set<? extends Vertex>) - Method in interface io.improbable.keanu.vertices.Probabilistic: The partial derivatives of the natural log prob.
dLogProb(T, Vertex...) - Method in interface io.improbable.keanu.vertices.Probabilistic
dLogProbAtValue(Set<? extends Vertex>) - Method in interface io.improbable.keanu.vertices.Probabilistic
dLogProbAtValue(Vertex...) - Method in interface io.improbable.keanu.vertices.Probabilistic
doNothing(T) - Static method in class io.improbable.keanu.algorithms.graphtraversal.BreadthFirstSearch
doNotThrowWhenMaxCountIsReached() - Method in class io.improbable.keanu.templating.loop.LoopBuilder: An optional method to override the default behaviour If the maximum loop count is exceeded, it will log a warning instead of throwing
dotProduct(Map<? extends VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
DotSaver - Class in io.improbable.keanu.util.io: Utility class for outputting a network to a DOT file that can then be used by a range of graph visualizers.
DotSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.DotSaver
DotSaver(Set<Vertex>) - Constructor for class io.improbable.keanu.util.io.DotSaver
DoubleArrayWrapper(double[]) - Constructor for class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
DoubleArrayWrapperFactory() - Constructor for class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
DoubleBinaryOpLambda<A,B> - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleBinaryOpLambda(long[], Vertex<A>, Vertex, BiFunction<A, B, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
DoubleBinaryOpLambda(long[], Vertex<A>, Vertex, BiFunction<A, B, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
DoubleBinaryOpLambda(Vertex<A>, Vertex, BiFunction<A, B, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
DoubleBinaryOpLambda(Vertex<A>, Vertex, BiFunction<A, B, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
DoubleBinaryOpVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleBinaryOpVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex: A vertex that performs a user defined operation on two vertices
DoubleBinaryOpVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex: A vertex that performs a user defined operation on two vertices
DoubleBuffer - Class in io.improbable.keanu.tensor.dbl
DoubleBuffer() - Constructor for class io.improbable.keanu.tensor.dbl.DoubleBuffer
DoubleBuffer.DoubleArrayWrapper - Class in io.improbable.keanu.tensor.dbl
DoubleBuffer.DoubleArrayWrapperFactory - Class in io.improbable.keanu.tensor.dbl
DoubleBuffer.DoubleWrapper - Class in io.improbable.keanu.tensor.dbl
DoubleBuffer.PrimitiveDoubleWrapper - Interface in io.improbable.keanu.tensor.dbl
DoubleCPTBuilder(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, DoubleVertex>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder
DoubleCPTVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
DoubleCPTVertex(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, DoubleVertex>, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex
DoubleGreaterThanMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleGreaterThanMaskVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanMaskVertex
DoubleGreaterThanOrEqualToMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleGreaterThanOrEqualToMaskVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanOrEqualToMaskVertex
DoubleIfThenElseBuilder(BooleanVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.DoubleIfThenElseBuilder
DoubleIfVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
DoubleIfVertex(BooleanVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
DoubleLessThanMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleLessThanMaskVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanMaskVertex
DoubleLessThanOrEqualToMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
DoubleLessThanOrEqualToMaskVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanOrEqualToMaskVertex
DoubleModelResultVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic: A non-probabilistic double vertex whose value is extracted from an upstream model vertex.
DoubleModelResultVertex(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleModelResultVertex
DoublePlaceholderVertex - Class in io.improbable.keanu.vertices.dbl
DoublePlaceholderVertex(long...) - Constructor for class io.improbable.keanu.vertices.dbl.DoublePlaceholderVertex
DoublePlaceholderVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.DoublePlaceholderVertex
DoubleProxyVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
DoubleProxyVertex(VertexLabel) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex: This vertex acts as a "Proxy" to allow a BayesNet to be built up before parents are explicitly known (ie for model in model scenarios) but allows linking at a later point in time.
DoubleProxyVertex(long[], VertexLabel) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
DoubleProxyVertex(long[], String, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
DoubleProxyVertex(long[], String) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
DoubleSetWithMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary
DoubleSetWithMaskVertex(DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary.DoubleSetWithMaskVertex
DoubleTensor - Interface in io.improbable.keanu.tensor.dbl
DoubleTensorFactory - Interface in io.improbable.keanu.tensor.dbl
doubleTensorFactory - Static variable in class io.improbable.keanu.tensor.TensorFactories
DoubleUnaryOpLambda<IN> - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
DoubleUnaryOpLambda(long[], Vertex<IN>, Function<IN, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
DoubleUnaryOpLambda(long[], Vertex<IN>, Function<IN, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
DoubleUnaryOpLambda(Vertex<IN>, Function<IN, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
DoubleUnaryOpLambda(Vertex<IN>, Function<IN, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
DoubleUnaryOpVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
DoubleUnaryOpVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex: A vertex that performs a user defined operation on a single input vertex
DoubleUnaryOpVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex: A vertex that performs a user defined operation on a single input vertex
DoubleVertex - Class in io.improbable.keanu.vertices.dbl
DoubleVertex(long[]) - Constructor for class io.improbable.keanu.vertices.dbl.DoubleVertex
DoubleVertexFactory - Class in io.improbable.keanu.randomfactory
DoubleVertexFactory() - Constructor for class io.improbable.keanu.randomfactory.DoubleVertexFactory
DoubleVertexSamples - Class in io.improbable.keanu.vertices.dbl
DoubleVertexSamples(List<DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.DoubleVertexSamples
doubleWhere(DoubleTensor, DoubleTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
doubleWhere(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
DoubleWrapper(double) - Constructor for class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
downSample(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
downSampleInterval(int) - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
dpotrf(KeanuLapack.Triangular, int, double[]) - Static method in class io.improbable.keanu.tensor.dbl.KeanuLapack: https://software.intel.com/en-us/mkl-developer-reference-c-potrf
drop(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
dropCount(int) - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
duplicate() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
duplicate() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
duplicate() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
duplicate() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
duplicate() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
duplicate() - Method in interface io.improbable.keanu.tensor.Tensor

E

EdgeDotLabel - Class in io.improbable.keanu.util.io
EdgeDotLabel() - Constructor for class io.improbable.keanu.util.io.EdgeDotLabel
ElapsedTimeComponent - Class in io.improbable.keanu.util.status: StatusBarComponent that renders the elapsed time since its creation.
ElapsedTimeComponent() - Constructor for class io.improbable.keanu.util.status.ElapsedTimeComponent
elementwiseEquals(Boolean) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
elementwiseEquals(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
elementwiseEquals(T) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
elementwiseEquals(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
elementwiseEquals(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
elementwiseEquals(Tensor, Tensor) - Static method in interface io.improbable.keanu.tensor.Tensor
elementwiseEquals(Tensor) - Method in interface io.improbable.keanu.tensor.Tensor
elementwiseEquals(N) - Method in interface io.improbable.keanu.tensor.Tensor
ELSE_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
ELSE_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
EMPTY - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
enable() - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator
enable() - Static method in class io.improbable.keanu.util.status.StatusBar: Enables all status bars globally
ENABLE_IN_PLACE - Static variable in class io.improbable.keanu.backend.keanu.compiled.KeanuVertexToTensorOpMapper
epsilon(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
eq(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
equals(Object) - Method in class io.improbable.keanu.distributions.hyperparam.Diff
equals(Object) - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName
equals(Object) - Method in class io.improbable.keanu.network.grouping.DiscretePoint
equals(Object) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
equals(Object) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
equals(Object) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
equals(Object) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
equals(Object) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
equals(Object) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
equals(Object) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
equals(Object) - Method in class io.improbable.keanu.tensor.TensorShape
equals(Object) - Method in class io.improbable.keanu.util.io.GraphEdge
equals(Object) - Method in class io.improbable.keanu.util.io.VertexDotLabel
equals(Object) - Method in class io.improbable.keanu.vertices.Vertex
equals(Object) - Method in class io.improbable.keanu.vertices.VertexLabel
EqualsVertex<TENSOR extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
EqualsVertex(Vertex<TENSOR>, Vertex<TENSOR>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.EqualsVertex
equalsWithinEpsilon(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
equalsWithinEpsilon(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
equalsWithinEpsilon(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
equalsWithinEpsilon(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
equalsWithinEpsilon(T, N) - Method in interface io.improbable.keanu.tensor.NumberTensor
equalTo(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
equalTo(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
equalTo(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
estimatedGradient() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator: Calculate the estimate of the gradient The regression coefficients (gradient and intercept) can be treated as random variables and estimated from the data.
estimatedIntercept() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator: Calculate the estimate of the intercept The regression coefficients (gradient and intercept) can be treated as random variables and estimated from the data.
eval(Vertex...) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
eval(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
eval() - Method in class io.improbable.keanu.vertices.Vertex: This causes a backwards propagating calculation of the vertex value.
exp() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
exp() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
exp2() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
exp2InPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
exp2InPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
exp2InPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
expandDims(int) - Method in interface io.improbable.keanu.tensor.Tensor
expectHeader(boolean) - Method in class io.improbable.keanu.util.csv.CsvReader: Tells the reader to either treat the first line of the file as a header or as data.
expInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
expInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
expInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
expM1() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
expM1InPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
expM1InPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
expM1InPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
Exponential - Class in io.improbable.keanu.distributions.continuous
exponentialSchedule(int, double, double) - Static method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing
ExponentialVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
ExponentialVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex: Lambda driving an arbitrarily shaped tensor of Exponential
ExponentialVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex: One to one constructor for mapping some shape of rate to matching shaped exponential.
ExponentialVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
ExportVertexToPythonBindings - Annotation Type in io.improbable.keanu.annotation
ExpVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
ExpVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex: Calculates the exponential of an input vertex
eye(long) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
eye(long) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
eye(long) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
eye(long) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
eye(long) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
eye(long) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
eye(int) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
eye(long) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
eye(long, DataType) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory

F

FALSE - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
falses(long...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
findLongestTensor(List<? extends Vertex<? extends Tensor>>) - Static method in class io.improbable.keanu.util.csv.WriteCsv
findModesBySimulatedAnnealing(BayesianNetwork, int, int, KeanuRandom) - Static method in class io.improbable.keanu.algorithms.mcmc.initialconditions.MultiModeDiscovery
finish() - Method in class io.improbable.keanu.util.status.StatusBar: Marks the end of use of a StatusBar.
fit(ModelGraph) - Method in class io.improbable.keanu.model.MAPModelFitter: Uses the Maximum A Posteriori algorithm to fit the model graph to the input and output data.
fit(ModelGraph) - Method in class io.improbable.keanu.model.MaximumLikelihoodModelFitter: Uses the maximum likelihood algorithm to fit the ModelGraph to the input and output data.
fit(ModelGraph) - Method in interface io.improbable.keanu.model.ModelFitter
fit() - Method in class io.improbable.keanu.model.regression.RegressionModel
fit(ModelGraph) - Method in class io.improbable.keanu.model.SamplingModelFitter: Uses a posterior sampling algorithm (e.g.
FitnessFunction - Interface in io.improbable.keanu.algorithms.variational.optimizer
FitnessFunctionGradient - Interface in io.improbable.keanu.algorithms.variational.optimizer
FixedPointTensor<N extends java.lang.Number,T extends FixedPointTensor<N,T>> - Interface in io.improbable.keanu.tensor
FloatingPointTensor<N extends java.lang.Number,T extends FloatingPointTensor<N,T>> - Interface in io.improbable.keanu.tensor
floor() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
floor() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
floorInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
floorInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
floorInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
FloorVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
FloorVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.FloorVertex: Applies the Floor operator to a vertex.
formatDuration(Duration) - Method in class io.improbable.keanu.util.status.TimeComponent
Forward - Class in io.improbable.keanu.algorithms.sampling
Forward(KeanuRandom, boolean) - Constructor for class io.improbable.keanu.algorithms.sampling.Forward
Forward() - Constructor for class io.improbable.keanu.Keanu.Sampling.Forward
Forward.ForwardBuilder - Class in io.improbable.keanu.algorithms.sampling
forwardModeAutoDiff(V, V...) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator
forwardModeAutoDiff(V, Collection<V>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in interface io.improbable.keanu.vertices.dbl.Differentiable
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex
forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex
forwardModeAutoDiffLambda - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
ForwardSampler - Class in io.improbable.keanu.algorithms.sampling
ForwardSampler(BayesianNetwork, List<? extends Variable>, List<Vertex>, KeanuRandom, boolean) - Constructor for class io.improbable.keanu.algorithms.sampling.ForwardSampler
from(List<NetworkSample>) - Static method in class io.improbable.keanu.algorithms.NetworkSamples
from(List<Vertex<? extends Tensor<?, ?>>>, Function<Vertex<? extends Tensor<?, ?>>, ?>) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTCondition
FromCount(int, VertexDictionary) - Constructor for class io.improbable.keanu.templating.SequenceBuilder.FromCount
fromFile(File) - Static method in class io.improbable.keanu.util.csv.ReadCsv
fromFile(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv
fromFile(Path) - Static method in class io.improbable.keanu.util.csv.ReadCsv
fromIterator(Iterator<T>) - Method in class io.improbable.keanu.templating.SequenceBuilder: Build an unspecified number of sequence items with data from an iterator
fromIterator(Iterator<T>, int) - Method in class io.improbable.keanu.templating.SequenceBuilder: Build a number of sequence items with data from an iterator
fromMask(INDArray) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
fromResources(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv
fromString(String) - Static method in class io.improbable.keanu.tensor.jvm.Slicer
fromString(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv
FULL_VARIABLE_SELECTOR - Static variable in interface io.improbable.keanu.algorithms.mcmc.proposal.MHStepVariableSelector
FullVariableSelector - Class in io.improbable.keanu.algorithms.mcmc.proposal

G

Gamma - Class in io.improbable.keanu.distributions.continuous
GammaVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
GammaVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex: Theta or k or both driving an arbitrarily shaped tensor of Gamma
GammaVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex: One to one constructor for mapping some shape of theta and k to matching shaped gamma.
GammaVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
GammaVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
GammaVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
Gaussian - Class in io.improbable.keanu.distributions.continuous
GaussianKDE - Class in io.improbable.keanu.algorithms.variational
GaussianKDE() - Constructor for class io.improbable.keanu.algorithms.variational.GaussianKDE
GaussianProposalDistribution - Class in io.improbable.keanu.algorithms.mcmc.proposal
GaussianProposalDistribution(List<? extends Variable>, DoubleTensor) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
GaussianProposalDistribution(List<? extends Variable>, DoubleTensor, List<ProposalListener>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
GaussianProposalDistribution(Map<? extends Variable, DoubleTensor>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
GaussianProposalDistribution(Map<? extends Variable, DoubleTensor>, List<ProposalListener>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
GaussianVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
GaussianVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex: One mu or sigma or both that match a proposed tensor shape of Gaussian
GaussianVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
GaussianVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
generate(int) - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
generatePosteriorSamples(ProbabilisticModel, List<? extends Variable>) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings
generatePosteriorSamples(ProbabilisticModel, List<? extends Variable>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS
generatePosteriorSamples(ProbabilisticModel, List<? extends Variable>) - Method in interface io.improbable.keanu.algorithms.PosteriorSamplingAlgorithm
generatePosteriorSamples(ProbabilisticModel, List<? extends Variable>) - Method in class io.improbable.keanu.algorithms.sampling.Forward
GenericArrayWrapper(T[]) - Constructor for class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
GenericArrayWrapperFactory() - Constructor for class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapperFactory
GenericBuffer - Class in io.improbable.keanu.tensor.generic
GenericBuffer() - Constructor for class io.improbable.keanu.tensor.generic.GenericBuffer
GenericBuffer.GenericArrayWrapper<T> - Class in io.improbable.keanu.tensor.generic
GenericBuffer.GenericArrayWrapperFactory<T> - Class in io.improbable.keanu.tensor.generic
GenericBuffer.GenericWrapper<T> - Class in io.improbable.keanu.tensor.generic
GenericBuffer.PrimitiveGenericWrapper<T> - Interface in io.improbable.keanu.tensor.generic
GenericSliceVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
GenericSliceVertex(Vertex<GenericTensor<T>>, int, int) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericSliceVertex: Takes the slice along a given dimension and index of a vertex
GenericTakeVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
GenericTakeVertex(Vertex<GenericTensor<T>>, long...) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTakeVertex: A vertex that extracts a scalar at a given index
GenericTensor<T> - Class in io.improbable.keanu.tensor.generic
GenericTensorUnaryOpVertex<IN,OUT> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
GenericTensorUnaryOpVertex(long[], Vertex<GenericTensor<IN>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
GenericTensorVertex<T> - Class in io.improbable.keanu.vertices.generic
GenericTensorVertex() - Constructor for class io.improbable.keanu.vertices.generic.GenericTensorVertex
GenericTensorVertex(long[]) - Constructor for class io.improbable.keanu.vertices.generic.GenericTensorVertex
GenericVertex<T> - Class in io.improbable.keanu.vertices.generic
GenericVertex() - Constructor for class io.improbable.keanu.vertices.generic.GenericVertex
GenericVertex(long[]) - Constructor for class io.improbable.keanu.vertices.generic.GenericVertex
GenericWrapper(T) - Constructor for class io.improbable.keanu.tensor.generic.GenericBuffer.GenericWrapper
Geometric - Class in io.improbable.keanu.distributions.discrete: Implements a Geometric Random Distribution.
GeometricVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic
GeometricVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex: A Vertex representing a Geometrically distributed random variable.
GeometricVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
GeometricVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
GeometricVertex(double) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
get(Vertex<?>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.MarkovBlanket: This algorithm finds all of the vertices that shield it from the rest of the Bayesian Network.
get(Variable<T, ?>) - Method in class io.improbable.keanu.algorithms.NetworkSample
get(VariableReference) - Method in class io.improbable.keanu.algorithms.NetworkSample
get(Variable<T, ?>) - Method in class io.improbable.keanu.algorithms.NetworkSamples
get(VariableReference) - Method in class io.improbable.keanu.algorithms.NetworkSamples
get(Enum) - Method in class io.improbable.keanu.algorithms.Statistics
get(ParameterName) - Method in class io.improbable.keanu.distributions.hyperparam.Diffs
get(Variable<T, ?>) - Method in interface io.improbable.keanu.network.NetworkState
get(VariableReference) - Method in interface io.improbable.keanu.network.NetworkState
get(Variable<T, ?>) - Method in class io.improbable.keanu.network.SimpleNetworkState
get(VariableReference) - Method in class io.improbable.keanu.network.SimpleNetworkState
get(VertexLabel) - Method in class io.improbable.keanu.templating.SequenceItem
get(long) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
get(long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
get(long) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
get(long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
get(long) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
get(BooleanTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
get(BooleanTensor) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
get(BooleanTensor) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
get(long) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
get(BooleanTensor) - Method in interface io.improbable.keanu.tensor.Tensor
get() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
get(VertexLabel) - Method in class io.improbable.keanu.vertices.SimpleVertexDictionary
get(VertexLabel) - Method in interface io.improbable.keanu.vertices.VertexDictionary
getA() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
getAbsoluteDimension(int, int) - Static method in class io.improbable.keanu.tensor.TensorShape: Finds the absolute dimension for a shape
getAcceptanceRate(VariableReference) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker
getAllVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getAllVerticesAffectedBy(Set<? extends Variable>) - Method in class io.improbable.keanu.network.LambdaSectionSnapshot
getAlpha() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
getAlpha() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
getAsDoubleTensors(List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
getAutocorrelation(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertexSamples: Calculates the autocorrelation of samples across a specified tensor index.
getAverages() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertexSamples
getAverages() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertexSamples
getAverageVertexDegree() - Method in class io.improbable.keanu.network.BayesianNetwork
getB() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
getBandwidth() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
getBase() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex
getBayesianNetwork() - Method in interface io.improbable.keanu.model.ModelGraph
getBeta() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
getBeta() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
getBeta() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
getBooleanModelOutputVertex(VertexLabel) - Method in interface io.improbable.keanu.vertices.model.ModelVertex
getBooleanTensorSamples(Variable<BooleanTensor, ?>) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getBooleanTensorSamples(VariableReference) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getBroadcastedFlatIndex(long, long[], long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getBroadcastResultShape(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getC() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
getChildren() - Method in class io.improbable.keanu.vertices.Vertex
getChildVertex() - Method in class io.improbable.keanu.util.io.GraphEdge
getConcatResultShape(int, Tensor...) - Static method in class io.improbable.keanu.tensor.TensorShape
getConcentration() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex
getConnectedGraph() - Method in class io.improbable.keanu.vertices.Vertex
getConstantValue() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
getConstantValue() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
getConstantValue() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
getContents() - Method in class io.improbable.keanu.templating.SequenceItem
getContinuousLatentVariables() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
getContinuousLatentVariables() - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
getContinuousLatentVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getCount() - Method in class io.improbable.keanu.templating.SequenceBuilder.FromCount
getCovariance() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
getDefaultRandom() - Static method in class io.improbable.keanu.KeanuRandom
getDegree() - Method in class io.improbable.keanu.vertices.Vertex
getDimension() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
getDimension() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex
getDimension() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
getDimension() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex
getDimension() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericSliceVertex
getDimension() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex
getDimension() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSliceVertex
getDiscreteLatentVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getDoubleModelOutputVertex(VertexLabel) - Method in interface io.improbable.keanu.vertices.model.ModelVertex
getDoubleTensorSamples(Variable<DoubleTensor, ?>) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getDoubleTensorSamples(VariableReference) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getDownSampleInterval() - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
getDownstreamLambdaSection(Vertex<?>, boolean) - Static method in class io.improbable.keanu.network.LambdaSection
getDownstreamLambdaSectionForCollection(List<Vertex>, boolean) - Static method in class io.improbable.keanu.network.LambdaSection
getDownstreamVertices(Vertex<?>, boolean) - Static method in class io.improbable.keanu.network.TransitiveClosure
getDownstreamVerticesForCollection(List<Vertex>, boolean) - Static method in class io.improbable.keanu.network.TransitiveClosure
getDropCount() - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
getEdgeSharpness() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
getEls() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
getEls() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
getEls() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
getEls() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
getEmptyValue() - Method in class io.improbable.keanu.util.csv.Writer
getEntireGraph(Vertex<?>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.DiscoverGraph: This algorithm visits all vertices in a graph.
getEpsilon() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
getErrorMessage() - Method in class io.improbable.keanu.vertices.utility.AssertVertex
getEscapeChar() - Method in class io.improbable.keanu.util.csv.Writer
getExponent() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex
getFactory() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
getFactory() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
getFactory() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
getFactory() - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
getFactory() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
getFieldCellConsumer(String, List<Field>) - Static method in class io.improbable.keanu.util.csv.pojo.PublicFieldMatcher
getFieldColumnConsumer(String, List<Field>) - Static method in class io.improbable.keanu.util.csv.pojo.PublicFieldMatcher
getFitnessAt(Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.FitnessFunction
getFitnessAt(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.ProbabilityFitnessFunction
getFitnessFunction(ProbabilisticModel, BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness
getFitnessFunction(ProbabilisticModel) - Method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness
getFitnessFunctionGradient(ProbabilisticModelWithGradient, BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness
getFitnessFunctionGradient(ProbabilisticModelWithGradient) - Method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness
getFlatIndex(long[], long[], long...) - Static method in class io.improbable.keanu.tensor.TensorShape
getFlattenedView() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
getFlattenedView() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
getFlattenedView() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
getFlattenedView() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
getFlattenedView() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
getFlattenedView() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
getFlattenedView() - Method in interface io.improbable.keanu.tensor.Tensor
getGradientsAt(Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.FitnessFunctionGradient
getGradientsAt(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ProbabilityFitnessFunctionGradient
getGraph(boolean) - Method in class io.improbable.keanu.util.io.ProtobufSaver
getHeader() - Method in class io.improbable.keanu.util.csv.CsvReader: Gets the header of the csv file if one exist otherwise an empty list.
getId() - Method in class io.improbable.keanu.vertices.Vertex
getIndentation() - Method in class io.improbable.keanu.network.BayesianNetwork
getIndentation() - Method in class io.improbable.keanu.vertices.Vertex
getIndentation() - Method in class io.improbable.keanu.vertices.VertexId
getIndex() - Method in class io.improbable.keanu.templating.SequenceItem
getIndex() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex
getIndex() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanTakeVertex
getIndex() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex
getIndex() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex
getIndex() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericSliceVertex
getIndex() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTakeVertex
getIndex() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSliceVertex
getIndex() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerTakeVertex
getInput(VariableReference) - Method in interface io.improbable.keanu.backend.ComputableGraph
getInput(VariableReference) - Method in class io.improbable.keanu.backend.keanu.KeanuComputableGraph
getInputSamples() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.CastToBooleanVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastToDoubleVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastToIntegerVertex
getInputVertex() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
getInputVertex() - Method in interface io.improbable.keanu.vertices.VertexUnaryOp
getIntegerModelOutputVertex(VertexLabel) - Method in interface io.improbable.keanu.vertices.model.ModelVertex
getIntegerTensorSamples(Variable<IntegerTensor, ?>) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getIntegerTensorSamples(VariableReference) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getInterceptVertex() - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph
getInterceptVertex() - Method in class io.improbable.keanu.model.regression.RegressionModel
getInterceptVertex(DoubleVertex, DoubleVertex) - Method in enum io.improbable.keanu.model.regression.RegressionRegularization
getIterator() - Method in class io.improbable.keanu.templating.SequenceBuilder.FromIterator
getJointLogProbGradientWrtLatents() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradientCalculator
getK() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
getK() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
getKineticEnergy(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
getKineticEnergy(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.mcmc.nuts.Potential
getLabel() - Method in class io.improbable.keanu.vertices.model.ModelResult
getLabel() - Method in interface io.improbable.keanu.vertices.model.ModelResultProvider
getLabel() - Method in class io.improbable.keanu.vertices.Vertex
getLabelParameter() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
getLabelParameter() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
getLabelParameter() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
getLabels() - Method in class io.improbable.keanu.util.io.GraphEdge
getLastItem() - Method in class io.improbable.keanu.templating.Sequence
getLatentOrObservedVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getLatentOrObservedVertices() - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
getLatentVariables() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
getLatentVariables() - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
getLatentVariables() - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
getLatentVariables() - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
getLatentVertices() - Method in class io.improbable.keanu.algorithms.particlefiltering.Particle
getLatentVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getLatentVertices() - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
getLeft() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
getLeft() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
getLeft() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
getLeft() - Method in interface io.improbable.keanu.vertices.VertexBinaryOp
getLength() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
getLength() - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
getLength() - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
getLength() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
getLength() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
getLength() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
getLength() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
getLength() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getLength() - Method in interface io.improbable.keanu.tensor.Tensor
getLength(long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getLengthAsInt(long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getLineEnd() - Method in class io.improbable.keanu.util.csv.Writer
getLocation() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
getLocation() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
getLogOfMasterP(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getLogOfMasterP(NetworkState) - Method in interface io.improbable.keanu.algorithms.variational.QDistribution
getLogOfMasterP() - Method in class io.improbable.keanu.network.BayesianNetwork
getLower(VariableReference) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
getMask() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary.DoubleSetWithMaskVertex
getMatrixMultiplicationResultingShape(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
getMax() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
getMaxAPosteriori(ProbabilisticModel, int) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing
getMaxAPosteriori(ProbabilisticModel, int, SimulatedAnnealing.AnnealingSchedule) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing: Finds the MAP using the default annealing schedule, which is an exponential decay schedule.
getMessage() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
getMin() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
getMode() - Method in class io.improbable.keanu.algorithms.Samples
getModeAtIndex(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertexSamples
getModel(boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.ProtobufSaver
getModel() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.BooleanModelResultVertex
getModel() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleModelResultVertex
getModel() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.IntegerModelResultVertex
getModel() - Method in class io.improbable.keanu.vertices.model.ModelResult
getModel() - Method in interface io.improbable.keanu.vertices.model.ModelResultProvider
getModelOutputValue(VertexLabel) - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex
getModelOutputValue(VertexLabel) - Method in interface io.improbable.keanu.vertices.model.ModelVertex
getMostProbableParticle() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter
getMostProbableParticles() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter
getMostProbableState() - Method in class io.improbable.keanu.algorithms.NetworkSamples
getMu() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
getMu() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
getMu() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
getMu() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
getMu() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
getMu() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
getN() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
getN() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
getName() - Method in class io.improbable.keanu.distributions.hyperparam.Diff
getName() - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName
getName() - Method in class io.improbable.keanu.templating.Sequence
getNetworkSamples() - Method in class io.improbable.keanu.model.SamplingModelFitter
getNetworkSamples() - Method in class io.improbable.keanu.model.SamplingModelFitting
getNetworkState(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
getNumber(Number) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
getNumber(Number) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
getNumber(Number) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
getObservedValue() - Method in interface io.improbable.keanu.vertices.Observable
getObservedValue() - Method in class io.improbable.keanu.vertices.Vertex
getObservedValue() - Method in class io.improbable.keanu.vertices.VertexState
getObservedVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getOfShape(long[]) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
getOperand() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary.DoubleSetWithMaskVertex
getOperands() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
getOperands() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
getOperands() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex
getOpMapperFor(Class<?>) - Static method in class io.improbable.keanu.backend.keanu.compiled.KeanuVertexToTensorOpMapper
getOrScalar(long) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
getOuterNamespace() - Method in class io.improbable.keanu.vertices.VertexLabel
getOutput() - Method in class io.improbable.keanu.templating.loop.Loop
getOutputVertex() - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph
getOutputVertex() - Method in class io.improbable.keanu.model.regression.RegressionModel
getOverDimensions() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex
getOverDimensions() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex
getP() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
getP() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
getP() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
getParent() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
getParent() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
getParent() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
getParent() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
getParents() - Method in class io.improbable.keanu.vertices.Vertex
getParentVertex() - Method in class io.improbable.keanu.util.io.GraphEdge
getPartials() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
getPermutationForDimensionToDimensionZero(int, long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getPermutedIndices(long[], int...) - Static method in class io.improbable.keanu.tensor.TensorShape
getPlaceholder(Vertex<T>) - Method in class io.improbable.keanu.vertices.LogProbGraph
getPoint() - Method in class io.improbable.keanu.network.grouping.ContinuousPoint
getPoint() - Method in class io.improbable.keanu.network.grouping.DiscretePoint
getPosteriorSamples(ProbabilisticModel, List<? extends Variable>, int) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings
getPosteriorSamples(ProbabilisticModel, List<? extends Variable>, int) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS: Sample from the posterior of a probabilistic model using the No-U-Turn-Sampling algorithm
getPosteriorSamples(ProbabilisticModel, Variable, int) - Method in interface io.improbable.keanu.algorithms.PosteriorSamplingAlgorithm
getPosteriorSamples(ProbabilisticModel, int) - Method in interface io.improbable.keanu.algorithms.PosteriorSamplingAlgorithm
getPosteriorSamples(ProbabilisticModel, List<? extends Variable>, int) - Method in interface io.improbable.keanu.algorithms.PosteriorSamplingAlgorithm
getPosteriorSamples(ProbabilisticModel, List<? extends Variable>, int) - Method in class io.improbable.keanu.algorithms.sampling.Forward: Samples from the prior of a Probabilistic Model.
getPredicate() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
getPredicate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
getPredicate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
getPredicate() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
getPredicate() - Method in class io.improbable.keanu.vertices.utility.AssertVertex
getPrintData() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
getProbTrue() - Method in class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
getProposal(Set<? extends Variable>, KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
getProposal(Set<? extends Variable>, KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
getProposal(Set<? extends Variable>, KeanuRandom) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution
getProposalFrom(Variable<T, ?>) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
getProposalTo(Variable<T, ?>) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
getProposalTo() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
getProposedShape() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanReshapeVertex
getProposedShape() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex
getProposedShape() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerReshapeVertex
getProxyVertices() - Method in class io.improbable.keanu.templating.SequenceItem
getQualifiedName() - Method in class io.improbable.keanu.vertices.VertexLabel
getQuoteChar() - Method in class io.improbable.keanu.util.csv.Writer
getRank() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
getRank() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
getRank() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getRank() - Method in interface io.improbable.keanu.tensor.Tensor
getRank() - Method in class io.improbable.keanu.tensor.TensorShape
getRank() - Method in class io.improbable.keanu.vertices.Vertex
getRate() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
getRearrange() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex
getRearrange() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerPermuteVertex
getReductionResultShape(long[], int[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getReference() - Method in interface io.improbable.keanu.algorithms.Variable
getReference() - Method in class io.improbable.keanu.backend.VariableImpl
getReference() - Method in class io.improbable.keanu.vertices.Vertex
getReshapeAllowingWildcard(long[], long, long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getResult() - Method in exception io.improbable.keanu.tensor.TensorValueException
getResultShape() - Method in interface io.improbable.keanu.tensor.jvm.IndexMapper
getResultShape() - Method in class io.improbable.keanu.tensor.jvm.SlicerIndexMapper
getResultStride() - Method in interface io.improbable.keanu.tensor.jvm.IndexMapper
getResultStride() - Method in class io.improbable.keanu.tensor.jvm.SlicerIndexMapper
getRight() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
getRight() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
getRight() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
getRight() - Method in interface io.improbable.keanu.vertices.VertexBinaryOp
getRowFirstStride(long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
getS() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
getSampleShape() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
getScalarMode() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertexSamples
getScalarValueOfVertex(Vertex<DoubleTensor>) - Method in class io.improbable.keanu.algorithms.particlefiltering.Particle
getScale() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
getScale() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
getSelectableValues() - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
getSelectorControlVertex() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
getSelectVertices() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
getSeparator() - Method in class io.improbable.keanu.util.csv.Writer
getSequence() - Method in class io.improbable.keanu.templating.loop.Loop
getSetterCellConsumer(String, List<Method>) - Static method in class io.improbable.keanu.util.csv.pojo.SetterMatcher
getSetterColumnConsumer(String, List<Method>) - Static method in class io.improbable.keanu.util.csv.pojo.SetterMatcher
getSetValue() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary.DoubleSetWithMaskVertex
getShape() - Method in interface io.improbable.keanu.algorithms.Variable
getShape() - Method in class io.improbable.keanu.backend.VariableImpl
getShape() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
getShape() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
getShape() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getShape() - Method in interface io.improbable.keanu.tensor.Tensor
getShape() - Method in class io.improbable.keanu.tensor.TensorShape
getShape() - Method in interface io.improbable.keanu.vertices.HasShape
getShape() - Method in class io.improbable.keanu.vertices.Vertex
getShapeIndices(long[], long[], long) - Static method in class io.improbable.keanu.tensor.TensorShape: This method can be interpreted as the opposite to getFlatIndex.
getSigma() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
getSigma() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
getSortedMostProbableParticles() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter
getSource() - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
getSourceIndexFromResultIndex(long) - Method in class io.improbable.keanu.tensor.jvm.DimensionIndexMapper
getSourceIndexFromResultIndex(long) - Method in interface io.improbable.keanu.tensor.jvm.IndexMapper
getSourceIndexFromResultIndex(long) - Method in class io.improbable.keanu.tensor.jvm.SlicerIndexMapper
getState() - Method in interface io.improbable.keanu.algorithms.Variable
getState() - Method in class io.improbable.keanu.backend.VariableImpl
getState() - Method in class io.improbable.keanu.vertices.Vertex
getStatistics() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS
getStride() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
getStride() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
getStride() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getStride() - Method in interface io.improbable.keanu.tensor.Tensor: Returns the stride for each dimension of the tensor (based on C ordering).
getSubgraph(Vertex, int) - Method in class io.improbable.keanu.network.BayesianNetwork: Method for traversing a graph and returning a subgraph of vertices within the given degree of the specified vertex.
getTemperature(int) - Method in interface io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.AnnealingSchedule
getTensor(Tensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
getTensor(Tensor<Integer, ?>) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
getTensor() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getTensor(Tensor<T, ?>) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getTensorMultiplyResultShape(long[], long[], int[], int[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
getTheta() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
getThis() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanWrapper
getThis() - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
getThis() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
getThis() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
getThis() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericWrapper
getThis() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
getThis() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
getThn() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
getThn() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
getThn() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
getThn() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
getTopLevelLatentOrObservedVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getTopLevelLatentVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getTopLevelObservedVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getUniqueIdentifier() - Method in class io.improbable.keanu.templating.Sequence
getUnqualifiedName() - Method in class io.improbable.keanu.vertices.VertexLabel
getUnscopedLabel(VertexLabel, boolean) - Static method in class io.improbable.keanu.templating.SequenceBuilder: This function is best described by how it operates on labels passed to it: 1.
getUpper(VariableReference) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
getUpstreamLambdaSection(Vertex<?>, boolean) - Static method in class io.improbable.keanu.network.LambdaSection
getUpstreamLambdaSectionForCollection(List<Vertex>, boolean) - Static method in class io.improbable.keanu.network.LambdaSection
getUpstreamVertices(Vertex<?>, boolean) - Static method in class io.improbable.keanu.network.TransitiveClosure
getUpstreamVerticesForCollection(List<Vertex>, boolean) - Static method in class io.improbable.keanu.network.TransitiveClosure
getV() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
getValue() - Method in interface io.improbable.keanu.algorithms.Variable
getValue() - Method in class io.improbable.keanu.backend.VariableImpl
getValue() - Method in class io.improbable.keanu.distributions.hyperparam.Diff
getValue(long...) - Method in interface io.improbable.keanu.tensor.Tensor: getValue returns a single primitive value from a specified index.
getValue(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
getValue(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
getValue(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
getValue() - Method in interface io.improbable.keanu.vertices.model.ModelResultProvider
getValue() - Method in interface io.improbable.keanu.vertices.Probabilistic
getValue() - Method in class io.improbable.keanu.vertices.Vertex
getValue() - Method in class io.improbable.keanu.vertices.VertexId
getValueFor(VariableReference) - Method in class io.improbable.keanu.algorithms.variational.optimizer.OptimizedResult
getValueOfVertex(Vertex<T>) - Method in class io.improbable.keanu.algorithms.particlefiltering.Particle
getVariableReferences() - Method in class io.improbable.keanu.algorithms.NetworkSample
getVariableReferences() - Method in interface io.improbable.keanu.network.NetworkState
getVariableReferences() - Method in class io.improbable.keanu.network.SimpleNetworkState
getVariablesWithProposal() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
getVariances() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertexSamples
getVelocity(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
getVelocity(Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.mcmc.nuts.Potential
getVertexByLabel(VertexLabel) - Method in class io.improbable.keanu.network.BayesianNetwork
getVertexCount() - Method in class io.improbable.keanu.network.BayesianNetwork
getVertices() - Method in class io.improbable.keanu.network.BayesianNetwork
getVertices(Vertex, Function<Vertex, Collection<Vertex>>, Function<Vertex, Boolean>, Predicate<Vertex>) - Static method in class io.improbable.keanu.network.Propagation
getVertices(List<Vertex>, Function<Vertex, Collection<Vertex>>, Function<Vertex, Boolean>, Predicate<Vertex>) - Static method in class io.improbable.keanu.network.Propagation
getVerticesIgnoringNamespace(String) - Method in class io.improbable.keanu.network.BayesianNetwork
getVerticesInNamespace(String...) - Method in class io.improbable.keanu.network.BayesianNetwork
getWeightsVertex(long, DoubleVertex, DoubleVertex) - Method in enum io.improbable.keanu.model.regression.RegressionRegularization
getWeightVertex() - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph
getWeightVertex() - Method in class io.improbable.keanu.model.regression.RegressionModel
getWithRespectTo(VertexId) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
getWrtShape(long[]) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
getXMax() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
getXMax() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
getXMax() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
getXMin() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
getXMin() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
getXMin() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
Gradient() - Constructor for class io.improbable.keanu.Keanu.Optimizer.Gradient
GradientOptimizationAlgorithm - Interface in io.improbable.keanu.algorithms.variational.optimizer.gradient
GradientOptimizer - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
GradientOptimizer() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
GradientOptimizer.GradientOptimizerBuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
GradientOptimizerBuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder
GraphAssertionException - Exception in io.improbable.keanu.vertices.utility: GraphAssertionException is an unchecked exception thrown by an AssertVertex when its assertion is triggered.
GraphAssertionException(String) - Constructor for exception io.improbable.keanu.vertices.utility.GraphAssertionException
GraphEdge - Class in io.improbable.keanu.util.io: Class representing a graph edge.
GraphEdge(Vertex, Vertex) - Constructor for class io.improbable.keanu.util.io.GraphEdge
greaterThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThan(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThan(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThan(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
greaterThan(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
greaterThan(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
greaterThan(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
greaterThan(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
greaterThan(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
greaterThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
greaterThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
greaterThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThanMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
greaterThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThanOrEqual(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThanOrEqual(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThanOrEqual(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
greaterThanOrEqual(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
greaterThanOrEqual(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
greaterThanOrEqual(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
greaterThanOrEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
greaterThanOrEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
greaterThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
greaterThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
greaterThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
greaterThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
greaterThanOrEqualToMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
GreaterThanOrEqualVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
GreaterThanOrEqualVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanOrEqualVertex
GreaterThanVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
GreaterThanVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanVertex
groupContinuousPoints(List<ContinuousPoint>) - Method in interface io.improbable.keanu.network.grouping.continuouspointgroupers.ContinuousPointGrouper
groupContinuousPoints(List<ContinuousPoint>) - Method in class io.improbable.keanu.network.grouping.continuouspointgroupers.DBSCANContinuousPointGrouper
groupNetworkStates(List<NetworkState>, List<VariableReference>, List<VariableReference>) - Method in class io.improbable.keanu.network.grouping.NetworkStateGrouper
gt(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
gte(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim

H

HalfCauchyVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
HalfCauchyVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex: One scale that matches a proposed tensor shape of HalfCauchy (Cauchy with location = 0 and non-negative x)
HalfCauchyVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
HalfCauchyVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
HalfCauchyVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
HalfGaussianVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
HalfGaussianVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex: One sigma that matches a proposed tensor shape of HalfGaussian (a Gaussian with mu = 0 and non-negative x).
HalfGaussianVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
HalfGaussianVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
HalfGaussianVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
handle(TENSOR, BooleanTensor) - Method in class io.improbable.keanu.tensor.validate.policy.ChangeValueTo
handle(TENSOR, BooleanTensor) - Method in interface io.improbable.keanu.tensor.validate.policy.TensorValidationPolicy
handle(TENSOR, BooleanTensor) - Method in class io.improbable.keanu.tensor.validate.policy.ThrowValueException
hasBound(VariableReference) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
hasCalculated() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex
hasCalculated() - Method in interface io.improbable.keanu.vertices.model.ModelVertex
hasConverged(DoubleTensor[], DoubleTensor[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.AbsoluteConvergenceChecker
hasConverged(DoubleTensor[], DoubleTensor[]) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker
hasConverged(DoubleTensor[], DoubleTensor[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.RelativeConvergenceChecker
hashCode() - Method in class io.improbable.keanu.distributions.hyperparam.Diff
hashCode() - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName
hashCode() - Method in class io.improbable.keanu.network.grouping.DiscretePoint
hashCode() - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
hashCode() - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
hashCode() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
hashCode() - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
hashCode() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
hashCode() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
hashCode() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
hashCode() - Method in class io.improbable.keanu.tensor.TensorShape
hashCode() - Method in class io.improbable.keanu.util.io.GraphEdge
hashCode() - Method in class io.improbable.keanu.util.io.VertexDotLabel
hashCode() - Method in class io.improbable.keanu.vertices.Vertex
hashCode() - Method in class io.improbable.keanu.vertices.VertexLabel
hasParent() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
hasParent() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
hasParent() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
hasParent() - Method in interface io.improbable.keanu.vertices.ProxyVertex
hasSameShapeAs(Tensor) - Method in interface io.improbable.keanu.tensor.Tensor
hasSameShapeAs(long[]) - Method in interface io.improbable.keanu.tensor.Tensor
HasShape - Interface in io.improbable.keanu.vertices
hasValue() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex
hasValue() - Method in class io.improbable.keanu.vertices.Vertex

I

If - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
If.BooleanIfThenElseBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
If.DoubleIfThenElseBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
If.IfThenBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
If.IfThenElseBuilder<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
If.IntegerIfThenElseBuilder - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
IfThenBuilder(BooleanVertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
IfThenElseBuilder(BooleanVertex, Vertex<GenericTensor<T>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenElseBuilder
IfVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
IfVertex(BooleanVertex, Vertex<GenericTensor<T>>, Vertex<GenericTensor<T>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
incrementIndentation() - Method in class io.improbable.keanu.network.BayesianNetwork
incrementIndexByShape(long[], long[], int[]) - Static method in class io.improbable.keanu.tensor.TensorShape
INDArrayExtensions - Class in io.improbable.keanu.tensor.ndj4
INDArrayExtensions() - Constructor for class io.improbable.keanu.tensor.ndj4.INDArrayExtensions
INDArrayShim - Class in io.improbable.keanu.tensor.ndj4: This class provides shim methods for the ND4J INDArray class.
INDArrayShim() - Constructor for class io.improbable.keanu.tensor.ndj4.INDArrayShim
IndexMapper - Interface in io.improbable.keanu.tensor.jvm
inDotFormat(GraphEdge) - Static method in class io.improbable.keanu.util.io.EdgeDotLabel
inDotFormat() - Method in class io.improbable.keanu.util.io.VertexDotLabel
initialize(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
initialize(Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.mcmc.nuts.Potential
initialStepSize(Double) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
initialTrustRegionRadius(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
INPUT_NAME - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
INPUT_NAME - Static variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
INPUT_NAME - Static variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
INPUT_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
INPUT_VERTEX_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
inputVertex - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
inputVertex - Variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
inputVertex - Variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
inputVertex - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
inputVertex - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
IntegerAbsVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerAbsVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerAbsVertex: Takes the absolute value of a vertex
IntegerAdditionVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerAdditionVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerAdditionVertex: Adds one vertex to another
IntegerBinaryOpLambda<A,B> - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerBinaryOpLambda(long[], Vertex<A>, Vertex, BiFunction<A, B, IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
IntegerBinaryOpLambda(Vertex<A>, Vertex, BiFunction<A, B, IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
IntegerBinaryOpVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerBinaryOpVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex: A vertex that performs a user defined operation on two input vertices
IntegerBinaryOpVertex(long[], IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex: A vertex that performs a user defined operation on two input vertices
IntegerConcatenationVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple
IntegerConcatenationVertex(int, IntegerVertex...) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex: A vertex that can concatenate any amount of vertices along a given dimension.
IntegerConcatenationVertex(int, Vertex[]) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex
IntegerCPTBuilder(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, IntegerVertex>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder
IntegerCPTVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
IntegerCPTVertex(List<Vertex<? extends Tensor<?, ?>>>, Map<CPTCondition, IntegerVertex>, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerCPTVertex
IntegerDifferenceVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerDifferenceVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDifferenceVertex: Subtracts one vertex from another
IntegerDivisionVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerDivisionVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDivisionVertex: Divides one vertex by another
IntegerIfThenElseBuilder(BooleanVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IntegerIfThenElseBuilder
IntegerIfVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
IntegerIfVertex(BooleanVertex, IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
IntegerMaxVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerMaxVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMaxVertex: Finds the maximum between two vertices
IntegerMinVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerMinVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMinVertex: Finds the minimum between two vertices
IntegerModelResultVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators: A non-probabilistic integer vertex whose value is extracted from an upstream model vertex.
IntegerModelResultVertex(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.IntegerModelResultVertex
IntegerMultiplicationVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerMultiplicationVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMultiplicationVertex: Multiplies one vertex by another
IntegerPermuteVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerPermuteVertex(IntegerVertex, int...) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerPermuteVertex
IntegerPlaceholderVertex - Class in io.improbable.keanu.vertices.intgr
IntegerPlaceholderVertex(long...) - Constructor for class io.improbable.keanu.vertices.intgr.IntegerPlaceholderVertex
IntegerPlaceholderVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.IntegerPlaceholderVertex
IntegerPowerVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
IntegerPowerVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerPowerVertex: Raises one vertex to the power of another
IntegerProxyVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
IntegerProxyVertex(VertexLabel) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex: This vertex acts as a "Proxy" to allow a BayesNet to be built up before parents are explicitly known (ie for model in model scenarios) but allows linking at a later point in time.
IntegerProxyVertex(long[], VertexLabel) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
IntegerProxyVertex(long[], String, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
IntegerProxyVertex(long[], String) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
IntegerReshapeVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerReshapeVertex(IntegerVertex, long...) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerReshapeVertex
IntegerSliceVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerSliceVertex(IntegerVertex, int, long) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSliceVertex: Takes the slice along a given dimension and index of a vertex
IntegerSumVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerSumVertex(IntegerVertex, int[]) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex: Performs a sum across each value stored in a vertex
IntegerSumVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex
IntegerTakeVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerTakeVertex(IntegerVertex, long...) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerTakeVertex: A vertex that extracts a scalar at a given index
IntegerTensor - Interface in io.improbable.keanu.tensor.intgr
IntegerUnaryOpLambda<IN> - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerUnaryOpLambda(long[], Vertex<IN>, Function<IN, IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
IntegerUnaryOpLambda(Vertex<IN>, Function<IN, IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
IntegerUnaryOpVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
IntegerUnaryOpVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex: A vertex that performs a user defined operation on a singe input vertex
IntegerUnaryOpVertex(long[], IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex: A vertex that performs a user defined operation on a singe input vertex
IntegerVertex - Class in io.improbable.keanu.vertices.intgr
IntegerVertex(long[]) - Constructor for class io.improbable.keanu.vertices.intgr.IntegerVertex
IntegerVertexSamples - Class in io.improbable.keanu.vertices.intgr
IntegerVertexSamples(List<IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.IntegerVertexSamples
integerWhere(IntegerTensor, IntegerTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
integerWhere(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
InverseGamma - Class in io.improbable.keanu.distributions.continuous
InverseGammaVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
InverseGammaVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex: One alpha or beta or both driving an arbitrarily shaped tensor of Inverse Gamma
InverseGammaVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex: One to one constructor for mapping some shape of alpha and beta to alpha matching shaped Inverse Gamma.
InverseGammaVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
InverseGammaVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
InverseGammaVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
InverseGammaVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
InverseGammaVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
InverseGammaVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
invertedPermute(int[]) - Static method in class io.improbable.keanu.tensor.TensorShape
io.improbable.keanu - package io.improbable.keanu
io.improbable.keanu.algorithms - package io.improbable.keanu.algorithms
io.improbable.keanu.algorithms.graphtraversal - package io.improbable.keanu.algorithms.graphtraversal
io.improbable.keanu.algorithms.mcmc - package io.improbable.keanu.algorithms.mcmc
io.improbable.keanu.algorithms.mcmc.initialconditions - package io.improbable.keanu.algorithms.mcmc.initialconditions
io.improbable.keanu.algorithms.mcmc.nuts - package io.improbable.keanu.algorithms.mcmc.nuts
io.improbable.keanu.algorithms.mcmc.proposal - package io.improbable.keanu.algorithms.mcmc.proposal
io.improbable.keanu.algorithms.particlefiltering - package io.improbable.keanu.algorithms.particlefiltering
io.improbable.keanu.algorithms.sampling - package io.improbable.keanu.algorithms.sampling
io.improbable.keanu.algorithms.statistics - package io.improbable.keanu.algorithms.statistics
io.improbable.keanu.algorithms.variational - package io.improbable.keanu.algorithms.variational
io.improbable.keanu.algorithms.variational.optimizer - package io.improbable.keanu.algorithms.variational.optimizer
io.improbable.keanu.algorithms.variational.optimizer.gradient - package io.improbable.keanu.algorithms.variational.optimizer.gradient
io.improbable.keanu.algorithms.variational.optimizer.nongradient - package io.improbable.keanu.algorithms.variational.optimizer.nongradient
io.improbable.keanu.annotation - package io.improbable.keanu.annotation
io.improbable.keanu.backend - package io.improbable.keanu.backend
io.improbable.keanu.backend.keanu - package io.improbable.keanu.backend.keanu
io.improbable.keanu.backend.keanu.compiled - package io.improbable.keanu.backend.keanu.compiled
io.improbable.keanu.distributions - package io.improbable.keanu.distributions
io.improbable.keanu.distributions.continuous - package io.improbable.keanu.distributions.continuous
io.improbable.keanu.distributions.discrete - package io.improbable.keanu.distributions.discrete
io.improbable.keanu.distributions.hyperparam - package io.improbable.keanu.distributions.hyperparam
io.improbable.keanu.model - package io.improbable.keanu.model
io.improbable.keanu.model.regression - package io.improbable.keanu.model.regression
io.improbable.keanu.network - package io.improbable.keanu.network
io.improbable.keanu.network.grouping - package io.improbable.keanu.network.grouping
io.improbable.keanu.network.grouping.continuouspointgroupers - package io.improbable.keanu.network.grouping.continuouspointgroupers
io.improbable.keanu.randomfactory - package io.improbable.keanu.randomfactory
io.improbable.keanu.templating - package io.improbable.keanu.templating
io.improbable.keanu.templating.loop - package io.improbable.keanu.templating.loop
io.improbable.keanu.tensor - package io.improbable.keanu.tensor
io.improbable.keanu.tensor.bool - package io.improbable.keanu.tensor.bool
io.improbable.keanu.tensor.buffer - package io.improbable.keanu.tensor.buffer
io.improbable.keanu.tensor.dbl - package io.improbable.keanu.tensor.dbl
io.improbable.keanu.tensor.generic - package io.improbable.keanu.tensor.generic
io.improbable.keanu.tensor.intgr - package io.improbable.keanu.tensor.intgr
io.improbable.keanu.tensor.jvm - package io.improbable.keanu.tensor.jvm
io.improbable.keanu.tensor.ndj4 - package io.improbable.keanu.tensor.ndj4
io.improbable.keanu.tensor.validate - package io.improbable.keanu.tensor.validate
io.improbable.keanu.tensor.validate.check - package io.improbable.keanu.tensor.validate.check
io.improbable.keanu.tensor.validate.policy - package io.improbable.keanu.tensor.validate.policy
io.improbable.keanu.util - package io.improbable.keanu.util
io.improbable.keanu.util.csv - package io.improbable.keanu.util.csv
io.improbable.keanu.util.csv.pojo - package io.improbable.keanu.util.csv.pojo
io.improbable.keanu.util.csv.pojo.bycolumn - package io.improbable.keanu.util.csv.pojo.bycolumn
io.improbable.keanu.util.csv.pojo.byrow - package io.improbable.keanu.util.csv.pojo.byrow
io.improbable.keanu.util.io - package io.improbable.keanu.util.io
io.improbable.keanu.util.status - package io.improbable.keanu.util.status
io.improbable.keanu.vertices - package io.improbable.keanu.vertices
io.improbable.keanu.vertices.bool - package io.improbable.keanu.vertices.bool
io.improbable.keanu.vertices.bool.nonprobabilistic - package io.improbable.keanu.vertices.bool.nonprobabilistic
io.improbable.keanu.vertices.bool.nonprobabilistic.operators - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators
io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary
io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple
io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
io.improbable.keanu.vertices.bool.probabilistic - package io.improbable.keanu.vertices.bool.probabilistic
io.improbable.keanu.vertices.dbl - package io.improbable.keanu.vertices.dbl
io.improbable.keanu.vertices.dbl.nonprobabilistic - package io.improbable.keanu.vertices.dbl.nonprobabilistic
io.improbable.keanu.vertices.dbl.nonprobabilistic.diff - package io.improbable.keanu.vertices.dbl.nonprobabilistic.diff
io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple
io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.ternary
io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
io.improbable.keanu.vertices.dbl.probabilistic - package io.improbable.keanu.vertices.dbl.probabilistic
io.improbable.keanu.vertices.generic - package io.improbable.keanu.vertices.generic
io.improbable.keanu.vertices.generic.nonprobabilistic - package io.improbable.keanu.vertices.generic.nonprobabilistic
io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary
io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary - package io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
io.improbable.keanu.vertices.generic.probabilistic.discrete - package io.improbable.keanu.vertices.generic.probabilistic.discrete
io.improbable.keanu.vertices.intgr - package io.improbable.keanu.vertices.intgr
io.improbable.keanu.vertices.intgr.nonprobabilistic - package io.improbable.keanu.vertices.intgr.nonprobabilistic
io.improbable.keanu.vertices.intgr.nonprobabilistic.operators - package io.improbable.keanu.vertices.intgr.nonprobabilistic.operators
io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary
io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple - package io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple
io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary - package io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary
io.improbable.keanu.vertices.intgr.probabilistic - package io.improbable.keanu.vertices.intgr.probabilistic
io.improbable.keanu.vertices.model - package io.improbable.keanu.vertices.model
io.improbable.keanu.vertices.utility - package io.improbable.keanu.vertices.utility
isApply(Function<T, Boolean>) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
isBroadcastable(long[], long[]) - Static method in class io.improbable.keanu.tensor.TensorShapeValidation
isDifferentiable() - Method in class io.improbable.keanu.vertices.Vertex
isDifferentiableWrtLatents(Collection<Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.DifferentiableChecker
isFinite() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
isFinite() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
isFinite() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
isImpossibleLogProb(double) - Static method in class io.improbable.keanu.vertices.ProbabilityCalculator: Tells you if a value of log probability is impossible, i.e.
isInfinite() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
isInfinite() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
isInfinite() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
isInImpossibleState() - Method in class io.improbable.keanu.network.BayesianNetwork
isInNamespace(String...) - Method in class io.improbable.keanu.vertices.VertexLabel
isLengthOne() - Method in interface io.improbable.keanu.tensor.Tensor
isLengthOne() - Method in class io.improbable.keanu.tensor.TensorShape
isLengthOne(long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
isMatrix() - Method in interface io.improbable.keanu.tensor.Tensor
isNaN() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
isNaN() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
isNegativeInfinity() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
isNegativeInfinity() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
isNegativeInfinity() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
isObserved() - Method in interface io.improbable.keanu.vertices.Observable
isObserved() - Method in class io.improbable.keanu.vertices.Vertex
isPositiveInfinity() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
isPositiveInfinity() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
isPositiveInfinity() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
isPresent() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
isProbabilistic() - Method in class io.improbable.keanu.vertices.Vertex
isScalar() - Method in interface io.improbable.keanu.tensor.Tensor
isScalar() - Method in class io.improbable.keanu.tensor.TensorShape
isScalar(long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
isTrue(BooleanVertex) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If
isVector() - Method in interface io.improbable.keanu.tensor.Tensor: Returns true if the tensor is a vector.
iterateWhile(Supplier<BooleanVertex>) - Method in class io.improbable.keanu.templating.loop.LoopBuilder: A mandatory method to specify the condition
iterateWhile(Function<SequenceItem, BooleanVertex>) - Method in class io.improbable.keanu.templating.loop.LoopBuilder: A mandatory method to specify the condition
iterator() - Method in class io.improbable.keanu.templating.Sequence

J

JsonLoader - Class in io.improbable.keanu.util.io: A class for parsing a network from JSON format to a BayesianNetwork object.
JsonLoader() - Constructor for class io.improbable.keanu.util.io.JsonLoader
JsonSaver - Class in io.improbable.keanu.util.io: A class for outputting a network to a JSON file.
JsonSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.JsonSaver: Sets up a new json saver for the given network.
JVMBooleanTensor - Class in io.improbable.keanu.tensor.bool
JVMBuffer - Class in io.improbable.keanu.tensor.buffer
JVMBuffer() - Constructor for class io.improbable.keanu.tensor.buffer.JVMBuffer
JVMBuffer.ArrayWrapperFactory<D,T extends JVMBuffer.PrimitiveArrayWrapper<D,T>> - Interface in io.improbable.keanu.tensor.buffer
JVMBuffer.PrimitiveArrayWrapper<T,IMPL extends JVMBuffer.PrimitiveArrayWrapper<T,IMPL>> - Interface in io.improbable.keanu.tensor.buffer
JVMBuffer.PrimitiveNumberWrapperFactory<D,T extends JVMBuffer.PrimitiveArrayWrapper<D,T>> - Interface in io.improbable.keanu.tensor.buffer
JVMBuffer.SingleValueWrapper<T,IMPL extends JVMBuffer.PrimitiveArrayWrapper<T,IMPL>> - Class in io.improbable.keanu.tensor.buffer
JVMDoubleTensor - Class in io.improbable.keanu.tensor.dbl
JVMDoubleTensorFactory - Class in io.improbable.keanu.tensor.dbl
JVMDoubleTensorFactory() - Constructor for class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
JVMFloatingPointTensor<T extends java.lang.Number,TENSOR extends FloatingPointTensor<T,TENSOR>,B extends PrimitiveNumberWrapper<T,B>> - Class in io.improbable.keanu.tensor.jvm
JVMFloatingPointTensor(B, long[], long[]) - Constructor for class io.improbable.keanu.tensor.jvm.JVMFloatingPointTensor
JVMNumberTensor<T extends java.lang.Number,TENSOR extends NumberTensor<T,TENSOR>,B extends PrimitiveNumberWrapper<T,B>> - Class in io.improbable.keanu.tensor.jvm
JVMNumberTensor(B, long[], long[]) - Constructor for class io.improbable.keanu.tensor.jvm.JVMNumberTensor
JVMTensor<T,TENSOR extends Tensor<T,TENSOR>,B extends JVMBuffer.PrimitiveArrayWrapper<T,B>> - Class in io.improbable.keanu.tensor.jvm
JVMTensor(B, long[], long[]) - Constructor for class io.improbable.keanu.tensor.jvm.JVMTensor
JVMTensorBroadcast - Class in io.improbable.keanu.tensor.jvm
JVMTensorBroadcast() - Constructor for class io.improbable.keanu.tensor.jvm.JVMTensorBroadcast

K

K - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
KDEVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
KDEVertex(DoubleTensor, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
KDEVertex(DoubleTensor) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
KDEVertex(List<Double>) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
KDEVertex(List<Double>, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
Keanu - Class in io.improbable.keanu: The entry point for creating PosteriorSamplingAlgorithms such as Keanu.Sampling.MetropolisHastings and Keanu.Sampling.NUTS
Keanu() - Constructor for class io.improbable.keanu.Keanu
Keanu.Optimizer - Class in io.improbable.keanu
Keanu.Optimizer.Gradient - Class in io.improbable.keanu
Keanu.Optimizer.NonGradient - Class in io.improbable.keanu
Keanu.Sampling - Class in io.improbable.keanu
Keanu.Sampling.Forward - Class in io.improbable.keanu
Keanu.Sampling.MCMC - Class in io.improbable.keanu
Keanu.Sampling.MetropolisHastings - Class in io.improbable.keanu
Keanu.Sampling.NUTS - Class in io.improbable.keanu
Keanu.Sampling.SimulatedAnnealing - Class in io.improbable.keanu
KeanuAnimationComponent - Class in io.improbable.keanu.util.status: StatusBarComponent that renders the Keanu animation.
KeanuAnimationComponent() - Constructor for class io.improbable.keanu.util.status.KeanuAnimationComponent
KeanuCompiledGraphBuilder - Class in io.improbable.keanu.backend.keanu.compiled
KeanuCompiledGraphBuilder() - Constructor for class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
KeanuCompiledProbabilisticGraph - Class in io.improbable.keanu.backend.keanu.compiled
KeanuCompiledProbabilisticGraph() - Constructor for class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledProbabilisticGraph
KeanuCompiledVariable - Class in io.improbable.keanu.backend.keanu.compiled
KeanuCompiledVariable() - Constructor for class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledVariable
KeanuComputableGraph - Class in io.improbable.keanu.backend.keanu: A computable graph that wraps the Keanu vertices
KeanuComputableGraph(List<Vertex>, Set<Vertex>) - Constructor for class io.improbable.keanu.backend.keanu.KeanuComputableGraph
KeanuLapack - Class in io.improbable.keanu.tensor.dbl: https://software.intel.com/en-us/mkl-developer-reference-c-matrix-factorization-lapack-computational-routines
KeanuLapack() - Constructor for class io.improbable.keanu.tensor.dbl.KeanuLapack
KeanuLapack.Triangular - Enum in io.improbable.keanu.tensor.dbl
KeanuProbabilisticModel - Class in io.improbable.keanu.network: An implementation of ProbabilisticModel that is backed by a BayesianNetwork
KeanuProbabilisticModel(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModel
KeanuProbabilisticModel(BayesianNetwork) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModel
KeanuProbabilisticModelWithGradient - Class in io.improbable.keanu.network: An implementation of ProbabilisticModelWithGradient that is backed by a BayesianNetwork
KeanuProbabilisticModelWithGradient(BayesianNetwork) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
KeanuProbabilisticModelWithGradient(Set<Vertex>) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
KeanuRandom - Class in io.improbable.keanu
KeanuRandom() - Constructor for class io.improbable.keanu.KeanuRandom
KeanuRandom(long) - Constructor for class io.improbable.keanu.KeanuRandom
KeanuVertexToTensorOpMapper - Class in io.improbable.keanu.backend.keanu.compiled: This class provides a static lookup per vertex to a string that represents the right hand side the assignment in compiled graph.
KeanuVertexToTensorOpMapper() - Constructor for class io.improbable.keanu.backend.keanu.compiled.KeanuVertexToTensorOpMapper
keepOnlyProbabilisticVertices(Iterable<? extends Vertex>) - Static method in interface io.improbable.keanu.vertices.Probabilistic
keys() - Method in class io.improbable.keanu.algorithms.Statistics
KLDivergence - Class in io.improbable.keanu.algorithms.variational
KLDivergence() - Constructor for class io.improbable.keanu.algorithms.variational.KLDivergence

L

L - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
LAMBDA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
lambda(long[], Function<DoubleTensor, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
lambda(Function<DoubleTensor, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
lambda(long[], Function<IntegerTensor, IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
lambda(Function<IntegerTensor, IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
LambdaModelVertex - Class in io.improbable.keanu.vertices.model
LambdaModelVertex(Map<VertexLabel, Vertex<? extends Tensor>>, Consumer<Map<VertexLabel, Vertex<? extends Tensor>>>, Supplier<Map<VertexLabel, Vertex<? extends Tensor>>>) - Constructor for class io.improbable.keanu.vertices.model.LambdaModelVertex: A vertex whose operation is the execution of a lambda.
LambdaSection - Class in io.improbable.keanu.network: A Lambda Section is defined as a given vertex and all the vertices that it affects (downstream) OR all of the vertices that affects it (upstream), stopping at observed or probabilistic vertices.
LambdaSectionSnapshot - Class in io.improbable.keanu.network: A snapshot of LambdaSections for a chosen set of Variables.
LambdaSectionSnapshot() - Constructor for class io.improbable.keanu.network.LambdaSectionSnapshot
Laplace - Class in io.improbable.keanu.distributions.continuous
LaplaceVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
LaplaceVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex: One mu or beta or both that match a proposed tensor shape of Laplace
LaplaceVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LaplaceVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LaplaceVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LaplaceVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex: One to one constructor for mapping some shape of mu and sigma to a matching shaped Laplace.
LaplaceVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LaplaceVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LaplaceVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
LatentIncrementSort - Class in io.improbable.keanu.algorithms.particlefiltering
lazyEval(Vertex...) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
lazyEval(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation
lazyEval() - Method in class io.improbable.keanu.vertices.Vertex: This is similar to eval() except it only propagates as far up the graph as required until there are values present to operate on.
LeapfrogIntegrator - Class in io.improbable.keanu.algorithms.mcmc.nuts
LeapfrogIntegrator() - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.LeapfrogIntegrator
LeapfrogState - Class in io.improbable.keanu.algorithms.mcmc.nuts: Leapfrog performs a movement through physical space with the introduction of a velocity variable.
LeapfrogState(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>, double, Potential) - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.LeapfrogState
left - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
left - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
left - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
left - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
left - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
LEFT_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
LEFT_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
lessThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThan(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThan(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThan(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
lessThan(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
lessThan(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
lessThan(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
lessThan(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
lessThan(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
lessThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
lessThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
lessThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThanMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
lessThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThanOrEqual(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThanOrEqual(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThanOrEqual(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
lessThanOrEqual(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
lessThanOrEqual(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
lessThanOrEqual(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
lessThanOrEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
lessThanOrEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
lessThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
lessThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
lessThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
lessThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
lessThanOrEqualToMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
LessThanOrEqualVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
LessThanOrEqualVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanOrEqualVertex
LessThanVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
LessThanVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanVertex
LinearRegressionGraph<OUTPUT> - Class in io.improbable.keanu.model.regression
LinearRegressionGraph(long[], Function<DoubleVertex, LinearRegressionGraph.OutputVertices<OUTPUT>>, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.model.regression.LinearRegressionGraph
LinearRegressionGraph.OutputVertices<OUTPUT> - Class in io.improbable.keanu.model.regression
linspace(double, double, int) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
linspace(double, double, int) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
linspace(double, double, int) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
linspace(double, double, int) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
linspace(double, double, int) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
linspace(double, double, int) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
linspace(double, double, int, DataType) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
LN_SQRT_2PI - Static variable in class io.improbable.keanu.distributions.continuous.Gaussian
load() - Method in class io.improbable.keanu.util.csv.pojo.bycolumn.ColumnsVectorizedObjectParser
load(boolean) - Method in class io.improbable.keanu.util.csv.pojo.bycolumn.ColumnsVectorizedObjectParser
load(boolean) - Method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
load() - Method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
loadFromBayesNet(BayesianNetwork) - Static method in class io.improbable.keanu.templating.SequenceLoader
loadMultipleSequencesFromBayesNet(BayesianNetwork) - Static method in class io.improbable.keanu.templating.SequenceLoader
loadNetwork(InputStream) - Method in interface io.improbable.keanu.network.NetworkLoader
loadNetwork(InputStream) - Method in class io.improbable.keanu.util.io.JsonLoader
loadNetwork(InputStream) - Method in class io.improbable.keanu.util.io.MIRLoader
loadNetwork(InputStream) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadNetwork(KeanuSavedBayesNet.ProtoModel) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadNetwork(SavedBayesNet.Graph) - Method in class io.improbable.keanu.util.io.ProtobufLoader
LoadShape - Annotation Type in io.improbable.keanu.vertices
loadValue(DoubleVertex) - Method in interface io.improbable.keanu.network.NetworkLoader
loadValue(BooleanVertex) - Method in interface io.improbable.keanu.network.NetworkLoader
loadValue(IntegerVertex) - Method in interface io.improbable.keanu.network.NetworkLoader
loadValue(Vertex) - Method in interface io.improbable.keanu.network.NetworkLoader
loadValue(DoubleVertex) - Method in class io.improbable.keanu.util.io.JsonLoader
loadValue(BooleanVertex) - Method in class io.improbable.keanu.util.io.JsonLoader
loadValue(IntegerVertex) - Method in class io.improbable.keanu.util.io.JsonLoader
loadValue(Vertex) - Method in class io.improbable.keanu.util.io.JsonLoader
loadValue(Vertex) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadValue(DoubleVertex) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadValue(BooleanVertex) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadValue(IntegerVertex) - Method in class io.improbable.keanu.util.io.ProtobufLoader
loadValue(NetworkLoader) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
loadValue(NetworkLoader) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
loadValue(NetworkLoader) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
loadValue(NetworkLoader) - Method in class io.improbable.keanu.vertices.Vertex
LoadVertexParam - Annotation Type in io.improbable.keanu.vertices
log() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
log10() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log10InPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
log10InPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log10InPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
log1p() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log1pInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
log1pInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log1pInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
log2() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log2InPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
log2InPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
log2InPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
logAddExp(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logAddExp2(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logAddExp2InPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
logAddExp2InPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
logAddExp2InPlace(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logAddExpInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
logAddExpInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
logAddExpInPlace(T) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logGamma() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logGamma() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
logGammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
logGammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
logGammaInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
LogGammaVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
LogGammaVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex: Returns the log of the gamma of the inputVertex
logInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
logInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
logInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
Logistic - Class in io.improbable.keanu.distributions.continuous
LogisticVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
LogisticVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex: One mu or s or both driving an arbitrarily shaped tensor of Logistic
LogisticVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
LogisticVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
LogisticVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
LogisticVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
logLikelihood() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
logLikelihood(Map<VariableReference, ?>) - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
logLikelihood(Map<VariableReference, ?>) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledProbabilisticGraph
logLikelihood(Map<VariableReference, ?>) - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
LogLikelihoodFitnessFunction - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
LogLikelihoodFitnessFunction(ProbabilisticModel, BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.LogLikelihoodFitnessFunction
LogLikelihoodFitnessFunction(ProbabilisticModel) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.LogLikelihoodFitnessFunction
LogLikelihoodFitnessFunctionGradient - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient, BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.LogLikelihoodFitnessFunctionGradient
LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.LogLikelihoodFitnessFunctionGradient
logLikelihoodGradients(Map<VariableReference, ?>) - Method in interface io.improbable.keanu.algorithms.ProbabilisticModelWithGradient
logLikelihoodGradients() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModelWithGradient
logLikelihoodGradients(Map<VariableReference, ?>) - Method in class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
logLikelihoodGradients() - Method in class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
LogNormal - Class in io.improbable.keanu.distributions.continuous
LogNormalVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
LogNormalVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex: One mu or s or both driving an arbitrarily shaped tensor of LogNormal https://en.wikipedia.org/wiki/Log-normal_distribution
LogNormalVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
LogNormalVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
logPdf(double) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
logPdf(double[]) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
logPdf(DoubleTensor) - Method in interface io.improbable.keanu.vertices.dbl.probabilistic.ProbabilisticDouble
logPmf(boolean) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
logPmf(boolean[]) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
logPmf(BooleanTensor) - Method in interface io.improbable.keanu.vertices.bool.probabilistic.ProbabilisticBoolean
logPmf(int) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
logPmf(int[]) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
logPmf(IntegerTensor) - Method in interface io.improbable.keanu.vertices.intgr.probabilistic.ProbabilisticInteger
logProb(Probabilistic<T>, T, T) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
logProb(Probabilistic<T>, T, T) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
logProb(Probabilistic<T>, T, T) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution
logProb() - Method in class io.improbable.keanu.algorithms.particlefiltering.Particle
logProb() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
logProb(Map<VariableReference, ?>) - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
logProb(Map<VariableReference, ?>) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledProbabilisticGraph
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Beta
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Cauchy
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.ChiSquared
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Dirichlet
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Exponential
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Gamma
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Gaussian
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.InverseGamma
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Laplace
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Logistic
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.LogNormal
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Pareto
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.SmoothUniform
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.StudentT
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Triangular
logProb(DoubleTensor) - Method in class io.improbable.keanu.distributions.continuous.Uniform
logProb(BooleanTensor) - Method in class io.improbable.keanu.distributions.discrete.Bernoulli
logProb(IntegerTensor) - Method in class io.improbable.keanu.distributions.discrete.Binomial
logProb(GenericTensor<CATEGORY>) - Method in class io.improbable.keanu.distributions.discrete.Categorical
logProb(IntegerTensor) - Method in class io.improbable.keanu.distributions.discrete.Geometric
logProb(IntegerTensor) - Method in class io.improbable.keanu.distributions.discrete.Multinomial
logProb(IntegerTensor) - Method in class io.improbable.keanu.distributions.discrete.Poisson
logProb(IntegerTensor) - Method in class io.improbable.keanu.distributions.discrete.UniformInt
logProb(T) - Method in interface io.improbable.keanu.distributions.Distribution
logProb(Map<VariableReference, ?>) - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
logProb(Set<? extends Variable>) - Method in class io.improbable.keanu.network.LambdaSectionSnapshot
logProb(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
logProb(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
logProb(GenericTensor<CATEGORY>) - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
logProb(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
logProb(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
logProb(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
logProb(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
logProb(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
logProb(T) - Method in interface io.improbable.keanu.vertices.Probabilistic: This is the natural log of the probability at the supplied value.
logProbAfter(Map<VariableReference, Object>, double) - Method in interface io.improbable.keanu.algorithms.ProbabilisticModel
logProbAfter(Map<VariableReference, Object>, double) - Method in class io.improbable.keanu.network.KeanuProbabilisticModel
logProbAtFromGivenTo(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution: Represents q(x|x') where q is the proposal distribution, x' is the proposal to value and x is the proposal from value.
logProbAtToGivenFrom(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution: Represents q(x'|x) where q is the proposal distribution, x' is the Proposal To value and x is the Proposal From value.
logProbAtValue() - Method in interface io.improbable.keanu.vertices.Probabilistic
LogProbFitnessFunction - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
LogProbFitnessFunction(ProbabilisticModel, BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.LogProbFitnessFunction
LogProbFitnessFunction(ProbabilisticModel) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.LogProbFitnessFunction
LogProbFitnessFunctionGradient - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
LogProbFitnessFunctionGradient(ProbabilisticModelWithGradient, BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.LogProbFitnessFunctionGradient
LogProbFitnessFunctionGradient(ProbabilisticModelWithGradient) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.LogProbFitnessFunctionGradient
LogProbGradientCalculator - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff
LogProbGradientCalculator(List<? extends Vertex>, List<? extends Vertex<?>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradientCalculator
logProbGradients(Map<VariableReference, ?>) - Method in interface io.improbable.keanu.algorithms.ProbabilisticModelWithGradient
logProbGradients() - Method in interface io.improbable.keanu.algorithms.ProbabilisticModelWithGradient
logProbGradients(Map<VariableReference, ?>) - Method in class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
logProbGradients() - Method in class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient
LogProbGradients - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff: This class stores the gradients of a log probability.
LogProbGradients() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
logProbGraph(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
logProbGraph(BooleanPlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.discrete.Bernoulli
logProbGraph() - Method in class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
logProbGraph() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
LogProbGraph - Class in io.improbable.keanu.vertices: A graph of vertices representing the computation of a log probability for a specific random variable
LogProbGraph() - Constructor for class io.improbable.keanu.vertices.LogProbGraph
logProbGraph() - Method in interface io.improbable.keanu.vertices.LogProbGraphSupplier
LogProbGraph.PlaceholderVertex - Interface in io.improbable.keanu.vertices
LogProbGraphSupplier - Interface in io.improbable.keanu.vertices
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Beta
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Cauchy
logProbOutput(DoublePlaceholderVertex, IntegerPlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.ChiSquared
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Dirichlet
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Exponential
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Gamma
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Gaussian
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.InverseGamma
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Laplace
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Logistic
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.LogNormal
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Pareto
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex, double) - Static method in class io.improbable.keanu.distributions.continuous.SmoothUniform
logProbOutput(DoublePlaceholderVertex, IntegerPlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.StudentT
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Triangular
logProbOutput(DoublePlaceholderVertex, DoublePlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Uniform
logProbOutput(IntegerPlaceholderVertex, DoublePlaceholderVertex, IntegerPlaceholderVertex) - Static method in class io.improbable.keanu.distributions.discrete.Binomial
logProbOutput(IntegerPlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.discrete.Geometric
logProbOutput(IntegerPlaceholderVertex, DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.discrete.Poisson
logProbOutput(IntegerPlaceholderVertex, IntegerPlaceholderVertex, IntegerPlaceholderVertex) - Static method in class io.improbable.keanu.distributions.discrete.UniformInt
LogVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
LogVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex: Returns the natural logarithm, base e, of a vertex
Loop - Class in io.improbable.keanu.templating.loop: A Loop object is a convenient wrapper around some Sequence.
LoopBuilder - Class in io.improbable.keanu.templating.loop
LoopBuilder.LoopBuilder2 - Class in io.improbable.keanu.templating.loop
LoopConstructionException - Exception in io.improbable.keanu.templating.loop
LoopConstructionException(String) - Constructor for exception io.improbable.keanu.templating.loop.LoopConstructionException
LoopConstructionException(String, Throwable) - Constructor for exception io.improbable.keanu.templating.loop.LoopConstructionException
LoopDidNotTerminateException - Exception in io.improbable.keanu.templating.loop
LoopDidNotTerminateException(String) - Constructor for exception io.improbable.keanu.templating.loop.LoopDidNotTerminateException
LoopDidNotTerminateException(String, Throwable) - Constructor for exception io.improbable.keanu.templating.loop.LoopDidNotTerminateException
lt(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
lte(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim

M

mapDependencies(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.TopologicalSort
MAPModelFitter - Class in io.improbable.keanu.model
MAPModelFitter() - Constructor for class io.improbable.keanu.model.MAPModelFitter
mapping(VertexLabel, VertexLabel) - Method in class io.improbable.keanu.templating.loop.LoopBuilder: An optional method to add custom mappings
MarkovBlanket - Class in io.improbable.keanu.algorithms.graphtraversal
matrixDeterminant() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
MatrixDeterminantVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary: A vertex that takes on the value of the matrixDeterminant of the value of its input matrix
MatrixDeterminantVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex
matrixInverse() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
matrixInverse() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
matrixInverse() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
matrixInverse() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
MatrixInverseVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
MatrixInverseVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex
MatrixMultiplicationVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
MatrixMultiplicationVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex: Matrix multiplies one vertex by another.
matrixMultiply(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
matrixMultiply(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
matrixMultiply(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
matrixMultiply(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
matrixMultiply(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
matrixMultiply(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex: Matrix product of two vertices
matrixMultiplyAlongOfDimensions(PartialDerivative, DoubleTensor, boolean) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
matrixMultiplyAlongWrtDimensions(PartialDerivative, DoubleTensor, boolean) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
max(DoubleTensor, DoubleTensor) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
max() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
max(IntegerTensor, IntegerTensor) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
max() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
max(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
max() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
max() - Method in interface io.improbable.keanu.tensor.NumberTensor
max(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
max(DoubleVertex, DoubleVertex) - Static method in class io.improbable.keanu.vertices.dbl.DoubleVertex
max(IntegerVertex, IntegerVertex) - Static method in class io.improbable.keanu.vertices.intgr.IntegerVertex
maxAPosteriori() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
maxAPosteriori() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
maxAPosteriori() - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer: This will use MAP estimation to optimize the values of latent vertices such that the probability of the whole Bayesian network is maximised.
maxEnergyChange(double) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder
maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
MaximumLikelihoodModelFitter - Class in io.improbable.keanu.model
MaximumLikelihoodModelFitter() - Constructor for class io.improbable.keanu.model.MaximumLikelihoodModelFitter
maxInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
maxInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
maxInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
maxInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
maxLikelihood() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
maxLikelihood() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
maxLikelihood() - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer: This method will use Maximum Likelihood estimation to optimize the values of latent vertices such that the probability of the observed vertices is maximised.
maxTreeHeight(int) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
MaxVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
MaxVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MaxVertex: Finds the maximum between two vertices
MCMC() - Constructor for class io.improbable.keanu.Keanu.Sampling.MCMC
meanSquaredError() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator: Calculate the MSE (mean squared error) which is an unbiased estimate of the variance of Y
MetropolisHastings - Class in io.improbable.keanu.algorithms.mcmc: Metropolis Hastings is a Markov Chain Monte Carlo method for obtaining samples from a probability distribution
MetropolisHastings() - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastings
MetropolisHastings() - Constructor for class io.improbable.keanu.Keanu.Sampling.MetropolisHastings
MetropolisHastings.MetropolisHastingsBuilder - Class in io.improbable.keanu.algorithms.mcmc
MetropolisHastingsBuilder() - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
MetropolisHastingsSampler - Class in io.improbable.keanu.algorithms.mcmc
MetropolisHastingsSampler(List<? extends Variable>, List<? extends Variable>, MetropolisHastingsStep, MHStepVariableSelector, double) - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsSampler
MetropolisHastingsStep - Class in io.improbable.keanu.algorithms.mcmc
MHStepVariableSelector - Interface in io.improbable.keanu.algorithms.mcmc.proposal
min(DoubleTensor, DoubleTensor) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
min() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
min(IntegerTensor, IntegerTensor) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
min() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
min(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
min() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
min() - Method in interface io.improbable.keanu.tensor.NumberTensor
min(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
min(DoubleVertex, DoubleVertex) - Static method in class io.improbable.keanu.vertices.dbl.DoubleVertex
min(IntegerVertex, IntegerVertex) - Static method in class io.improbable.keanu.vertices.intgr.IntegerVertex
minInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
minInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
minInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
minInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
minus(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
minus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
minus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
minus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
minus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
minus(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
minus(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
minus(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
minus(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
minus(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
minus(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
minus(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
minus(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
minusInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
minusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
minusInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
minusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
minusInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
minusInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
minusInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
minusInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
MinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
MinVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MinVertex: Finds the minimum between two vertices
MIRLoader - Class in io.improbable.keanu.util.io
MIRLoader() - Constructor for class io.improbable.keanu.util.io.MIRLoader
MIRSaver - Class in io.improbable.keanu.util.io
MIRSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.MIRSaver
MIRSaver(BayesianNetwork, String) - Constructor for class io.improbable.keanu.util.io.MIRSaver
mod(N) - Method in interface io.improbable.keanu.tensor.FixedPointTensor
mod(T) - Method in interface io.improbable.keanu.tensor.FixedPointTensor
ModelComposition - Class in io.improbable.keanu.network
ModelFitter - Interface in io.improbable.keanu.model
ModelGraph<INPUT,OUTPUT> - Interface in io.improbable.keanu.model
ModelResult<T> - Class in io.improbable.keanu.vertices.model
ModelResult(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.model.ModelResult
ModelResultProvider<T> - Interface in io.improbable.keanu.vertices.model
ModelScoring - Class in io.improbable.keanu.model
ModelScoring() - Constructor for class io.improbable.keanu.model.ModelScoring
ModelVertex<T> - Interface in io.improbable.keanu.vertices.model
modInPlace(N) - Method in interface io.improbable.keanu.tensor.FixedPointTensor
modInPlace(T) - Method in interface io.improbable.keanu.tensor.FixedPointTensor
modInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
modInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
modInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFixedPointTensor
modInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFixedPointTensor
moveAxis(int, int) - Method in interface io.improbable.keanu.tensor.Tensor
MU - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
MU_NAME - Static variable in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
muli(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
MultiModeDiscovery - Class in io.improbable.keanu.algorithms.mcmc.initialconditions
Multinomial - Class in io.improbable.keanu.distributions.discrete
MultinomialVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic: The multinomial vertex is a multivariate distribution with a shape determined by p (probabilities) and n (trials).
MultinomialVertex(long[], IntegerVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultinomialVertex(IntegerVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultinomialVertex(int, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultinomialVertex(int, DoubleTensor) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultinomialVertex(IntegerTensor, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultinomialVertex(IntegerTensor, DoubleTensor) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
MultiplexerVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
MultiplexerVertex(IntegerVertex, Vertex<T>...) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
MultiplicationVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
MultiplicationVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex: Multiplies one vertex by another
multiply(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
multiply(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
multiply(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
multiply(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
multiply(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
multiplyAlongOfDimensions(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative: This method assumes the partial 'of' rank is the same as the multiplier.
multiplyAlongOfDimensions(DoubleTensor, int) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
multiplyAlongWrtDimensions(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
multiplyBy(double) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
MultivariateGaussian - Class in io.improbable.keanu.distributions.continuous
MultivariateGaussianVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
MultivariateGaussianVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex: Multivariate gaussian distribution.
MultivariateGaussianVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex: Matches a mu and covariance of some shape to a Multivariate Gaussian
MultivariateGaussianVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex: Matches a mu to a Multivariate Gaussian.
MultivariateGaussianVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
mux(IntegerTensor, T...) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex

N

named(String) - Method in class io.improbable.keanu.templating.SequenceBuilder
NAN_CATCHER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator
NAN_FIXER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator
nanArgMax(int) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
nanArgMax() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
nanArgMax() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
nanArgMax(int) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
nanArgMax(int) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
nanArgMax() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
nanArgMin(int) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
nanArgMin() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
nanArgMin() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
nanArgMin(int) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
nanArgMin(int) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
nanArgMin() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
NaNFixingTensorValidator - Class in io.improbable.keanu.tensor.validate
NaNFixingTensorValidator(double) - Constructor for class io.improbable.keanu.tensor.validate.NaNFixingTensorValidator
Nd4jDoubleTensor - Class in io.improbable.keanu.tensor.dbl: Class for representing n-dimensional arrays of doubles.
Nd4jDoubleTensor(double[], long[]) - Constructor for class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
Nd4jDoubleTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
Nd4jDoubleTensorFactory - Class in io.improbable.keanu.tensor.dbl
Nd4jDoubleTensorFactory() - Constructor for class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
Nd4jFixedPointTensor<T extends java.lang.Number,TENSOR extends FixedPointTensor<T,TENSOR>> - Class in io.improbable.keanu.tensor.ndj4
Nd4jFixedPointTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.ndj4.Nd4jFixedPointTensor
Nd4jFloatingPointTensor<T extends java.lang.Number,TENSOR extends FloatingPointTensor<T,TENSOR>> - Class in io.improbable.keanu.tensor.ndj4
Nd4jFloatingPointTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
Nd4jIntegerTensor - Class in io.improbable.keanu.tensor.intgr: Class for representing n-dimensional arrays of integers.
Nd4jIntegerTensor(int[], long[]) - Constructor for class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
Nd4jIntegerTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
Nd4jNumberTensor<T extends java.lang.Number,TENSOR extends NumberTensor<T,TENSOR>> - Class in io.improbable.keanu.tensor.ndj4
Nd4jNumberTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
Nd4jTensor<T,TENSOR extends Tensor<T,TENSOR>> - Class in io.improbable.keanu.tensor.ndj4
Nd4jTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.ndj4.Nd4jTensor
NetworkLoader - Interface in io.improbable.keanu.network
NetworkSample - Class in io.improbable.keanu.algorithms: A network sample contains the state of the network (variable values) and the logOfMasterP at a given point in time.
NetworkSample() - Constructor for class io.improbable.keanu.algorithms.NetworkSample
NetworkSamples - Class in io.improbable.keanu.algorithms: An immutable collection of network samples.
NetworkSamples(Map<VariableReference, ? extends List>, List<Double>, int) - Constructor for class io.improbable.keanu.algorithms.NetworkSamples
NetworkSamplesGenerator - Class in io.improbable.keanu.algorithms.mcmc
NetworkSamplesGenerator(SamplingAlgorithm, Supplier<StatusBar>) - Constructor for class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
NetworkSaver - Interface in io.improbable.keanu.network
NetworkSnapshot - Class in io.improbable.keanu.network: Saves the state (value and observed) of a specified collection of variables.
NetworkState - Interface in io.improbable.keanu.network: Depending on how a NetworkState is being used, it may be significantly more efficient to use one underlying data structure vs another.
NetworkStateGrouper - Class in io.improbable.keanu.network.grouping: This class has the ability to group NetworkStates that are similar.
NetworkStateGrouper(ContinuousPointGrouper) - Constructor for class io.improbable.keanu.network.grouping.NetworkStateGrouper
nextBoolean() - Method in class io.improbable.keanu.KeanuRandom
nextConstant(double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextConstant(double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextConstant(double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextDouble(long[]) - Method in class io.improbable.keanu.KeanuRandom
nextDouble() - Method in class io.improbable.keanu.KeanuRandom
nextDouble(double, double) - Method in class io.improbable.keanu.KeanuRandom
nextDouble(double, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextDouble(double, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextDouble(double, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextDoubleNonZero() - Method in class io.improbable.keanu.KeanuRandom
nextGamma(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom
nextGaussian(long[]) - Method in class io.improbable.keanu.KeanuRandom
nextGaussian(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom
nextGaussian() - Method in class io.improbable.keanu.KeanuRandom
nextGaussian(double, double) - Method in class io.improbable.keanu.KeanuRandom
nextGaussian(double, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextGaussian(DoubleVertex, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextGaussian(DoubleVertex, DoubleVertex) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextGaussian(double, DoubleVertex) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
nextGaussian(ArithmeticDouble, ArithmeticDouble) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextGaussian(double, ArithmeticDouble) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextGaussian(ArithmeticDouble, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextGaussian(double, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
nextGaussian(T, T) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextGaussian(double, T) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextGaussian(T, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextGaussian(double, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextGaussian() - Method in interface io.improbable.keanu.randomfactory.RandomFactory
nextInt(long[]) - Method in class io.improbable.keanu.KeanuRandom
nextInt(int) - Method in class io.improbable.keanu.KeanuRandom
nextInt() - Method in class io.improbable.keanu.KeanuRandom
nextLaplace(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom
nextPoisson(long[], DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom
NonGradient() - Constructor for class io.improbable.keanu.Keanu.Optimizer.NonGradient
NonGradientOptimizationAlgorithm - Interface in io.improbable.keanu.algorithms.variational.optimizer.nongradient
NonGradientOptimizer - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient: This class can be used to construct a BOBYQA non-gradient optimizer.
NonGradientOptimizer() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
NonGradientOptimizer.NonGradientOptimizerBuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
NonGradientOptimizerBuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder
NonProbabilistic<T> - Interface in io.improbable.keanu.vertices
NonProbabilisticObservationException - Exception in io.improbable.keanu.vertices
NonProbabilisticObservationException() - Constructor for exception io.improbable.keanu.vertices.NonProbabilisticObservationException
NonSaveableVertex - Interface in io.improbable.keanu.vertices
not() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
not() - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
not(Vertex<BooleanTensor>) - Static method in class io.improbable.keanu.vertices.bool.BooleanVertex
NotBinaryVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary
NotBinaryVertex(Vertex<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.NotBinaryVertex
NotEqualsVertex<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
NotEqualsVertex(Vertex<A>, Vertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.NotEqualsVertex
notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
notifyProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier
notifyProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier
notInPlace() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
notInPlace() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
notNaN() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
notNaN() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
notNaN() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
nullState() - Static method in class io.improbable.keanu.vertices.VertexState
NumberTensor<N extends java.lang.Number,T extends NumberTensor<N,T>> - Interface in io.improbable.keanu.tensor
numDimensions(long[]) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
NumericalEqualsVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators: Returns true if a vertex value is equal to another vertex value within an epsilon.
NumericalEqualsVertex(Vertex<? extends NumberTensor>, Vertex<? extends NumberTensor>, Vertex<? extends NumberTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
NUTS - Class in io.improbable.keanu.algorithms.mcmc.nuts: NUTS with multinomial sampling
NUTS() - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.NUTS
NUTS() - Constructor for class io.improbable.keanu.Keanu.Sampling.NUTS
NUTS.Metrics - Enum in io.improbable.keanu.algorithms.mcmc.nuts
NUTS.NUTSBuilder - Class in io.improbable.keanu.algorithms.mcmc.nuts
NUTSBuilder() - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

O

Observable<T> - Interface in io.improbable.keanu.vertices
observe(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
observe(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
observe(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
observe(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
observe(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
observe(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
observe(T) - Method in interface io.improbable.keanu.vertices.Observable
observe(T) - Method in class io.improbable.keanu.vertices.Vertex: This marks the vertex's value as being observed and unchangeable.
observeOwnValue() - Method in class io.improbable.keanu.vertices.Vertex: Cause this vertex to observe its own value, for example when generating test data
observeValues(INPUT, OUTPUT) - Method in interface io.improbable.keanu.model.ModelGraph
observeValues(DoubleTensor, OUTPUT) - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph
of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient: Creates a GradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.
of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient: Creates a Bayesian network from the given vertices and uses this to create a GradientOptimizer.
of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient: Creates a BOBYQA NonGradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.
of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient: Creates a Bayesian network from the given vertices and uses this to create a BOBYQA NonGradientOptimizer.
of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer: Creates a Bayesian network from the given vertices and uses this to create an Optimizer.
of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer: Creates an Optimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.
of(Boolean) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(boolean) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(boolean...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(boolean[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(BooleanTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(Integer) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(int) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(int...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(int[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(IntegerTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(Double) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(double) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(double...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(double[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(DoubleTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(GENERIC) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(GENERIC[]) - Static method in interface io.improbable.keanu.vertices.ConstantVertex
of(Vertex) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo
of(VertexId) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo
of(Vertex<? extends Tensor<?, ?>>...) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable
of(Map<CATEGORY, Double>) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
of(DirichletVertex, List<CATEGORY>) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
of(DirichletVertex) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
of(Vertex<?>...) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary
of(Vertex...) - Static method in interface io.improbable.keanu.vertices.VertexDictionary
ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient: Creates a Bayesian network from the graph connected to the given vertex and uses this to create a GradientOptimizer.
ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient: Creates a Bayesian network from the graph connected to the given vertex and uses this to create a BOBYQA NonGradientOptimizer.
ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer: Creates a Bayesian network from the graph connected to the given vertex and uses this to create an Optimizer.
ofGraph(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter
ofVertexInGraph(Vertex) - Static method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter: Creates a ParticleFilterBuilder by retrieving connected graph from the vertex
ONE_BY_ONE_SHAPE - Static variable in interface io.improbable.keanu.tensor.Tensor
ones(Map<VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
ones(long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveNumberWrapperFactory
ones(long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
ones(long...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
ones(long[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
ones(long...) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
ones(long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
ones(long...) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
ones(long[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
ones(long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
ones(long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
ones(long[], DataType) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory
onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker
onProposalCreated(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalListener
onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection
onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection
onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker
onProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
onProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
onProposalRejected() - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution
onProposalRejected(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalListener
onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection
onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection
op(BooleanTensor, BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
op(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.AndBinaryVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpLambda
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
op(TENSOR, TENSOR) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.EqualsVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanOrEqualVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanOrEqualVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanVertex
op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.NotEqualsVertex
op(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.OrBinaryVertex
op(BooleanTensor...) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanReshapeVertex
op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex
op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanTakeVertex
op(A) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpLambda
op(T) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.NotBinaryVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex
op - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanMaskVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanOrEqualToMaskVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanMaskVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanOrEqualToMaskVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex
op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex
op(DoubleTensor...) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.AbsVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CeilVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.FloorVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.RoundVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex
op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex
op(A, B) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpLambda
op(A, B) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
op(GenericTensor<T>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericSliceVertex
op(GenericTensor<T>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTakeVertex
op(GenericTensor<IN>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTensorUnaryOpVertex
op(IN) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpLambda
op(IN) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerAdditionVertex
op - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDifferenceVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDivisionVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMaxVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMinVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMultiplicationVertex
op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerPowerVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerAbsVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerPermuteVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerReshapeVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSliceVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerTakeVertex
op - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam
optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient
optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizationAlgorithm
optimize(List<? extends Variable>, FitnessFunction) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA
optimize(List<? extends Variable>, FitnessFunction) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizationAlgorithm
OptimizedResult - Class in io.improbable.keanu.algorithms.variational.optimizer
OptimizedResult() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.OptimizedResult
Optimizer - Interface in io.improbable.keanu.algorithms.variational.optimizer
Optimizer() - Constructor for class io.improbable.keanu.Keanu.Optimizer
optimizerBounds(OptimizerBounds) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
OptimizerBounds - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
OptimizerBounds() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds
or(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
or(boolean) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
or(Vertex<BooleanTensor>...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
or(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
or(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
OrBinaryVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary
OrBinaryVertex(Vertex<BooleanTensor>, Vertex<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.OrBinaryVertex
orDefault(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder
orDefault(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder
orDefault(Vertex<GenericTensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder
orDefault(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder
orDefault(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder
orDefault(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder
orDefault(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder
orElse(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder
orElse(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder
orElse(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.DoubleIfThenElseBuilder
orElse(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.DoubleIfThenElseBuilder
orElse(Vertex<GenericTensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenElseBuilder
orElse(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IntegerIfThenElseBuilder
orElse(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IntegerIfThenElseBuilder
orInPlace(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
orInPlace(boolean) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
orInPlace(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
orInPlace(boolean) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
OrMultipleVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple
OrMultipleVertex(Collection<? extends Vertex<BooleanTensor>>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.OrMultipleVertex
outputBuffer - Variable in class io.improbable.keanu.tensor.jvm.ResultWrapper
outputShape - Variable in class io.improbable.keanu.tensor.jvm.ResultWrapper
outputStride - Variable in class io.improbable.keanu.tensor.jvm.ResultWrapper
OutputVertices() - Constructor for class io.improbable.keanu.model.regression.LinearRegressionGraph.OutputVertices

P

ParameterName - Class in io.improbable.keanu.distributions.hyperparam
ParameterName(String) - Constructor for class io.improbable.keanu.distributions.hyperparam.ParameterName
Pareto - Class in io.improbable.keanu.distributions.continuous
ParetoVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
ParetoVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex: Provides a Vertex implementing the Pareto Distribution.
ParetoVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
ParetoVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
parseLabel(String) - Static method in class io.improbable.keanu.vertices.VertexLabel
PartialDerivative - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff
PartialDerivative(DoubleTensor) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
PartialsOf - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff
PartialsOf() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsOf
PartialsWithRespectTo - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff
PartialsWithRespectTo() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo
Particle - Class in io.improbable.keanu.algorithms.particlefiltering: Represents a Particle used in a Particle Filter.
Particle() - Constructor for class io.improbable.keanu.algorithms.particlefiltering.Particle
ParticleFilter - Class in io.improbable.keanu.algorithms.particlefiltering: This class allows you to create particle filters to find likely states of a network (i.e.
ParticleFilter(Collection<? extends Vertex>, int, int, double, KeanuRandom) - Constructor for class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter
ParticleFilterBuilder - Class in io.improbable.keanu.algorithms.particlefiltering
ParticleFilterBuilder(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
pdf(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
PercentageComponent - Class in io.improbable.keanu.util.status: StatusBarComponent that renders a percentage bar which can be updated.
PercentageComponent() - Constructor for class io.improbable.keanu.util.status.PercentageComponent
permute(int...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
permute(int...) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
permute(JVMBuffer.ArrayWrapperFactory<T, B>, B, long[], long[], int...) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
permute(int...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
permute(int...) - Method in interface io.improbable.keanu.tensor.Tensor
permute(int...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
PermuteVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
PermuteVertex(DoubleVertex, int...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex
plus(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
plus(long, T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
plus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
plus(long, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
plus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
plus(long, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
plus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
plus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
plus(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
plus(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
plus(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
plus(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
plus(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
plus(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
plus(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
plus(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
plusInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
plusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
plusInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
plusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
plusInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
plusInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
plusInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
plusInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
Poisson - Class in io.improbable.keanu.distributions.discrete: Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.2.8 page 49
PoissonVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic
PoissonVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex: One mu that must match a proposed tensor shape of Poisson.
PoissonVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
PoissonVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex: One to one constructor for mapping some shape of mu to a matching shaped Poisson.
PoissonVertex(Vertex<? extends NumberTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
PoissonVertex(double) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
PosteriorSamplingAlgorithm - Interface in io.improbable.keanu.algorithms
potential(Potential) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
Potential - Interface in io.improbable.keanu.algorithms.mcmc.nuts
pow(Map<VariableReference, DoubleTensor>, double) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
pow(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
pow(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
pow(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
pow(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
pow(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
pow(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
pow(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
pow(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
pow(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
pow(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
pow(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
pow(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
PowerVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
PowerVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex: Raises a vertex to the power of another
powInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
powInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
powInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
powInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
powInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
powInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
powInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
powInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
PREDICATE_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
PREDICATE_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
predict(INPUT) - Method in interface io.improbable.keanu.model.PredictiveModel
predict(DoubleTensor) - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph
predict(DoubleTensor) - Method in class io.improbable.keanu.model.regression.RegressionModel
PredictiveModel<INPUT,OUTPUT> - Interface in io.improbable.keanu.model
prefixMatches(VertexId) - Method in class io.improbable.keanu.vertices.VertexId
PrimitiveNumberWrapper<T extends java.lang.Number,B extends JVMBuffer.PrimitiveArrayWrapper<T,B>> - Interface in io.improbable.keanu.tensor.buffer
print(T, String, boolean) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
print() - Method in class io.improbable.keanu.vertices.Vertex
print(String, boolean) - Method in class io.improbable.keanu.vertices.Vertex
PrintVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
PrintVertex(Vertex<T>, String, boolean) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
PrintVertex(Vertex<T>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
PriorProposalDistribution - Class in io.improbable.keanu.algorithms.mcmc.proposal
PriorProposalDistribution() - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
PriorProposalDistribution(List<ProposalListener>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
Probabilistic<T> - Interface in io.improbable.keanu.vertices
ProbabilisticBoolean - Interface in io.improbable.keanu.vertices.bool.probabilistic
ProbabilisticDouble - Interface in io.improbable.keanu.vertices.dbl.probabilistic
ProbabilisticGraphConverter - Class in io.improbable.keanu.backend: This class is a utility class for creating joint logProb graphs.
ProbabilisticGraphConverter() - Constructor for class io.improbable.keanu.backend.ProbabilisticGraphConverter
ProbabilisticInteger - Interface in io.improbable.keanu.vertices.intgr.probabilistic
ProbabilisticModel - Interface in io.improbable.keanu.algorithms: A model composed of Variables that can return a value of log-probability for a given set of input values.
probabilisticModel(ProbabilisticModelWithGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder
probabilisticModel(ProbabilisticModel) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder
ProbabilisticModelWithGradient - Interface in io.improbable.keanu.algorithms: A ProbabilisticModel that can also return the gradient of its log-probability: required by algorithms such as Keanu.Sampling.NUTS and GradientOptimizer.
probability(Function<NetworkState, Boolean>) - Method in class io.improbable.keanu.algorithms.NetworkSamples
probability(Function<T, Boolean>) - Method in class io.improbable.keanu.algorithms.Samples
ProbabilityCalculator - Class in io.improbable.keanu.vertices
ProbabilityFitness - Enum in io.improbable.keanu.algorithms.variational.optimizer
ProbabilityFitnessFunction - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient
ProbabilityFitnessFunction(ProbabilisticModel) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.ProbabilityFitnessFunction
ProbabilityFitnessFunctionGradient - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient
ProbabilityFitnessFunctionGradient(ProbabilisticModelWithGradient) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ProbabilityFitnessFunctionGradient
probeForNonZeroProbability(int) - Method in class io.improbable.keanu.network.BayesianNetwork
probeForNonZeroProbability(int, KeanuRandom) - Method in class io.improbable.keanu.network.BayesianNetwork: Attempt to find a non-zero master probability by naively sampling vertices in order of data dependency
product() - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
product() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
product() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
product() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
product(int...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
product() - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
product(int...) - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
product() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
product() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
product(int...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
product() - Method in interface io.improbable.keanu.tensor.NumberTensor
product(int...) - Method in interface io.improbable.keanu.tensor.NumberTensor
progress(double) - Method in class io.improbable.keanu.util.status.PercentageComponent
Propagation - Class in io.improbable.keanu.network
Propagation() - Constructor for class io.improbable.keanu.network.Propagation
Proposal - Class in io.improbable.keanu.algorithms.mcmc.nuts
Proposal() - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.Proposal
Proposal - Class in io.improbable.keanu.algorithms.mcmc.proposal
Proposal() - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
proposalDistribution(ProposalDistribution) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
ProposalDistribution - Interface in io.improbable.keanu.algorithms.mcmc.proposal
proposalDistribution(ProposalDistribution) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
ProposalListener - Interface in io.improbable.keanu.algorithms.mcmc.proposal
ProposalNotifier - Class in io.improbable.keanu.algorithms.mcmc.proposal: Manages multiple ProposalListeners and notifies them when a proposal is created or rejected.
ProposalNotifier(List<ProposalListener>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier
ProposalRejectionStrategy - Interface in io.improbable.keanu.algorithms.mcmc: What to do when a Proposal is rejected by MetropolisHastings.
ProtobufLoader - Class in io.improbable.keanu.util.io
ProtobufLoader() - Constructor for class io.improbable.keanu.util.io.ProtobufLoader
ProtobufSaver - Class in io.improbable.keanu.util.io
ProtobufSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.ProtobufSaver
proxyLabelFor(VertexLabel) - Static method in class io.improbable.keanu.templating.SequenceBuilder
ProxyVertex<T extends Vertex<?>> - Interface in io.improbable.keanu.vertices: A Proxy vertex is one with a single parent.
PublicFieldMatcher - Class in io.improbable.keanu.util.csv.pojo: This finds an appropriate POJO public field for a given csv title.
put(ParameterName, DoubleTensor) - Method in class io.improbable.keanu.distributions.hyperparam.Diffs
putWithRespectTo(VertexId, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.LogProbGradients
Py4jByteArrayConversionException - Exception in io.improbable.keanu.util
Py4jByteArrayConverter - Class in io.improbable.keanu.util
Py4jByteArrayConverter() - Constructor for class io.improbable.keanu.util.Py4jByteArrayConverter

Q

QDistribution - Interface in io.improbable.keanu.algorithms.variational: QDistribution represents Q in D(P|Q) = sum_i P(i) log(P(i)/Q(i)), which is the KLDivergence (Kullback Leibler divergence) from probability distributions P to Q.

R

random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.sampling.Forward.ForwardBuilder
RandomDoubleFactory - Class in io.improbable.keanu.randomfactory
RandomDoubleFactory() - Constructor for class io.improbable.keanu.randomfactory.RandomDoubleFactory
RandomFactory<T> - Interface in io.improbable.keanu.randomfactory
randomMomentum(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
randomMomentum(KeanuRandom) - Method in interface io.improbable.keanu.algorithms.mcmc.nuts.Potential
rdivi(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
ReadCsv - Class in io.improbable.keanu.util.csv: This class provides static helper functions for loading csv data from various locations.
readLines() - Method in class io.improbable.keanu.util.csv.CsvReader: This will read the entire csv file and return it as a list.
reciprocal() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
reciprocalInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
reciprocalInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
reciprocalInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
ReduceVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple
ReduceVertex(long[], Collection<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
ReduceVertex(long[], BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>, Vertex<DoubleTensor>...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
ReduceVertex(long[], Collection<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
ReduceVertex(BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>, Vertex<DoubleTensor>...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex: Reduce vertex that assumes shape as inputs
ReduceVertex(List<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex: Reduce vertex that assumes shape as inputs
registerOutput(VariableReference) - Method in interface io.improbable.keanu.backend.ComputableGraphBuilder
registerOutput(VariableReference) - Method in class io.improbable.keanu.backend.keanu.compiled.KeanuCompiledGraphBuilder
RegressionModel<OUTPUT> - Class in io.improbable.keanu.model.regression: A general linear regression model that can be fitted to input and output training data.
RegressionModelBuilder<OUTPUT extends Tensor> - Class in io.improbable.keanu.model.regression: Builder class for doing linear regression without regularisation.
RegressionModelBuilder(DoubleTensor, OUTPUT, Function<DoubleVertex, LinearRegressionGraph.OutputVertices<OUTPUT>>) - Constructor for class io.improbable.keanu.model.regression.RegressionModelBuilder
RegressionRegularization - Enum in io.improbable.keanu.model.regression
rejectionStrategy(ProposalRejectionStrategy) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
rejectionStrategy(ProposalRejectionStrategy) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
relativeChecker(double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker
relativeChecker(ConvergenceChecker.Norm, double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker
RelativeConvergenceChecker - Class in io.improbable.keanu.algorithms.variational.optimizer
RelativeConvergenceChecker(ConvergenceChecker.Norm, double) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.RelativeConvergenceChecker
relativeThreshold(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
RemainingTimeComponent - Class in io.improbable.keanu.util.status: StatusBarComponent that shows the estimated remaining time for algorithm completion.
RemainingTimeComponent(long) - Constructor for class io.improbable.keanu.util.status.RemainingTimeComponent
removeComponent(StatusBarComponent) - Method in class io.improbable.keanu.util.status.StatusBar
removeDimension(int, long[]) - Static method in class io.improbable.keanu.tensor.TensorShape: Removes a dimension from a shape.
removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer
removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer
removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer: Removes a callback function that previously would have been called whenever the optimizer evaluated the fitness of a point.
removeGradientCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer: Removes a callback function that previously would have been called whenever the optimizer evaluated the gradient at a point.
removeLabel() - Method in class io.improbable.keanu.vertices.Vertex
render() - Method in class io.improbable.keanu.util.status.AverageTimeComponent
render() - Method in class io.improbable.keanu.util.status.ElapsedTimeComponent
render() - Method in class io.improbable.keanu.util.status.KeanuAnimationComponent
render() - Method in class io.improbable.keanu.util.status.PercentageComponent
render() - Method in class io.improbable.keanu.util.status.RemainingTimeComponent
render() - Method in interface io.improbable.keanu.util.status.StatusBarComponent: Renders the content of a component to a String.
render() - Method in class io.improbable.keanu.util.status.TextComponent
replaceNaN(N) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
replaceNaNInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
replaceNaNInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
replaceNaNInPlace(N) - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
resample(int, KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
resetID() - Method in class io.improbable.keanu.vertices.VertexId
resetIdGenerator() - Static method in class io.improbable.keanu.vertices.VertexId
reshape(long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
reshape(long...) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
reshape(long...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
reshape(long...) - Method in interface io.improbable.keanu.tensor.Tensor
reshape(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
reshape(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
reshape(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
ReshapeVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
ReshapeVertex(DoubleVertex, long...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex
ResultWrapper<T,B extends JVMBuffer.PrimitiveArrayWrapper<T,B>> - Class in io.improbable.keanu.tensor.jvm
ResultWrapper() - Constructor for class io.improbable.keanu.tensor.jvm.ResultWrapper
reverseDiv(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
reverseDiv(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
reverseDiv(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
reverseDiv(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
reverseDiv(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
reverseDiv(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseDiv(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseDiv(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
reverseDiv(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
reverseDivInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
reverseDivInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
reverseDivInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
reverseDivInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
reverseDivInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
reverseDivInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
reverseDivInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseDivInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseMinus(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
reverseMinus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
reverseMinus(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
reverseMinus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
reverseMinus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
reverseMinus(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseMinus(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseMinus(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
reverseMinus(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
reverseMinusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
reverseMinusInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
reverseMinusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
reverseMinusInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
reverseMinusInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
reverseMinusInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
reverseMinusInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseMinusInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
reverseModeAutoDiff(Vertex, Set<? extends Vertex<?>>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator
reverseModeAutoDiff(Vertex, Vertex<?>...) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator
reverseModeAutoDiff(Vertex<?>, PartialDerivative, Set<? extends Vertex<?>>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator
reverseModeAutoDifferentiation(PartialDerivative) - Method in interface io.improbable.keanu.vertices.dbl.Differentiable
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex
reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex
reverseModeAutoDiffLambda - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
right - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
right - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
right - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
right - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
right - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
RIGHT_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
RIGHT_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
RollbackAndCascadeOnRejection - Class in io.improbable.keanu.algorithms.mcmc: When a proposal is created, take a snapshot of the vertices' values.
RollbackAndCascadeOnRejection() - Constructor for class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection
RollBackToCachedValuesOnRejection - Class in io.improbable.keanu.algorithms.mcmc: When a proposal is created, take a snapshot of the vertices' LambdaSections When a proposal is rejected, apply the snapshot to reset the Bayes Net to the old values.
RollBackToCachedValuesOnRejection() - Constructor for class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection
round() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
round() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
roundInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
roundInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
roundInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
RoundVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
RoundVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.RoundVertex: Applies the Rounding operator to a vertex.
RowsAsObjectParser<T> - Class in io.improbable.keanu.util.csv.pojo.byrow: This class parses csv lines to a specified plain old java object (POJO).
RowsAsObjectParser(Class<T>, Stream<List<String>>, List<String>) - Constructor for class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
RowWriter - Class in io.improbable.keanu.util.csv
RowWriter(List<? extends Vertex<? extends Tensor>>, String) - Constructor for class io.improbable.keanu.util.csv.RowWriter
RowWriter(List<? extends Vertex<? extends Tensor>>) - Constructor for class io.improbable.keanu.util.csv.RowWriter
rsubi(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
run() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex
run() - Method in interface io.improbable.keanu.vertices.model.ModelVertex

S

S - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
safeLogTimes(T) - Method in interface io.improbable.keanu.tensor.NumberTensor: This is identical to log().times(y), except that it changes NaN results to 0.
safeLogTimesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
safeLogTimesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
safeLogTimesInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
safeLogTimesInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
safeLogTimesInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
Samplable<T> - Interface in io.improbable.keanu.vertices
SamplableWithManyScalars<T extends Tensor<?,T>> - Interface in io.improbable.keanu.vertices
SamplableWithShape<T extends Tensor<?,T>> - Interface in io.improbable.keanu.vertices
sample(Map<VariableReference, List<?>>, List<Double>) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsSampler
sample() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsSampler
sample(Map<VariableReference, List<?>>, List<Double>) - Method in interface io.improbable.keanu.algorithms.mcmc.SamplingAlgorithm: Takes a sample with the algorithm and saves it in the supplied map (creating a new entry in the list if the Variable already exists).
sample() - Method in interface io.improbable.keanu.algorithms.mcmc.SamplingAlgorithm: Takes a sample with the algorithm and returns the state of the network for that sample.
sample(Map<VariableReference, List<?>>, List<Double>) - Method in class io.improbable.keanu.algorithms.sampling.ForwardSampler
sample() - Method in class io.improbable.keanu.algorithms.sampling.ForwardSampler
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Beta
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Cauchy
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.ChiSquared
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Dirichlet
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Exponential
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Gamma
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Gaussian
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.InverseGamma
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Laplace
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Logistic
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.LogNormal
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Pareto
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.SmoothUniform
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.StudentT
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Triangular
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.continuous.Uniform
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Bernoulli
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Binomial
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Categorical
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Geometric
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Multinomial
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.Poisson
sample(long[], KeanuRandom) - Method in class io.improbable.keanu.distributions.discrete.UniformInt
sample(long[], KeanuRandom) - Method in interface io.improbable.keanu.distributions.Distribution
sample(int, KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex
sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex
sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.model.ModelResult
sample(KeanuRandom) - Method in interface io.improbable.keanu.vertices.Samplable
sample() - Method in interface io.improbable.keanu.vertices.Samplable
sample(KeanuRandom) - Method in interface io.improbable.keanu.vertices.SamplableWithManyScalars
sampleManyScalars(long[], KeanuRandom) - Method in interface io.improbable.keanu.vertices.SamplableWithManyScalars
sampleManyScalars(long[]) - Method in interface io.improbable.keanu.vertices.SamplableWithManyScalars
Samples<T> - Class in io.improbable.keanu.algorithms
Samples(List<T>) - Constructor for class io.improbable.keanu.algorithms.Samples
samples - Variable in class io.improbable.keanu.algorithms.Samples
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.DirichletVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogNormalVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.GeometricVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
sampleWithShape(long[], KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
sampleWithShape(long[], KeanuRandom) - Method in interface io.improbable.keanu.vertices.SamplableWithShape
sampleWithShape(long[]) - Method in interface io.improbable.keanu.vertices.SamplableWithShape
SampleWriter - Class in io.improbable.keanu.util.csv
SampleWriter(NetworkSamples, List<? extends Vertex<? extends Tensor>>) - Constructor for class io.improbable.keanu.util.csv.SampleWriter
Sampling() - Constructor for class io.improbable.keanu.Keanu.Sampling
SamplingAlgorithm - Interface in io.improbable.keanu.algorithms.mcmc
SamplingModelFitter - Class in io.improbable.keanu.model
SamplingModelFitter(Function<KeanuProbabilisticModel, PosteriorSamplingAlgorithm>, int) - Constructor for class io.improbable.keanu.model.SamplingModelFitter: This fitter uses a PosteriorSamplingAlgorithm, in contrast to the MAPModelFitter and MaximumLikelihoodModelFitter, which use gradient methods.
SamplingModelFitting - Class in io.improbable.keanu.model
SamplingModelFitting(Function<KeanuProbabilisticModel, PosteriorSamplingAlgorithm>, int) - Constructor for class io.improbable.keanu.model.SamplingModelFitting
SamplingUtil - Class in io.improbable.keanu.algorithms.mcmc
SamplingUtil() - Constructor for class io.improbable.keanu.algorithms.mcmc.SamplingUtil
save(NetworkSaver) - Method in class io.improbable.keanu.network.BayesianNetwork
save(OutputStream, boolean, Map<String, String>) - Method in interface io.improbable.keanu.network.NetworkSaver
save(OutputStream, boolean) - Method in interface io.improbable.keanu.network.NetworkSaver
save(Vertex) - Method in interface io.improbable.keanu.network.NetworkSaver
save(ConstantVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
save(ConstantDoubleVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
save(ConstantIntegerVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
save(ConstantBooleanVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
save(OutputStream, boolean) - Method in class io.improbable.keanu.util.io.DotSaver: Outputs a graph to a DOT file which can be used by various graph visualizers to generate a visual representation of the graph.
save(OutputStream, boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.DotSaver: Outputs a graph to a DOT file which can be used by various graph visualizers to generate a visual representation of the graph.
save(Vertex) - Method in class io.improbable.keanu.util.io.DotSaver
save(ConstantVertex) - Method in class io.improbable.keanu.util.io.DotSaver
save(OutputStream, boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.JsonSaver
save(Vertex) - Method in class io.improbable.keanu.util.io.JsonSaver
save(ConstantVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
save(ConstantDoubleVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
save(ConstantIntegerVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
save(ConstantBooleanVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
save(OutputStream, boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.MIRSaver
save(OutputStream, boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.ProtobufSaver
save(Vertex) - Method in class io.improbable.keanu.util.io.ProtobufSaver
save(NetworkSaver) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
save(NetworkSaver) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
save(NetworkSaver) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
save(NetworkSaver) - Method in class io.improbable.keanu.vertices.Vertex
saveStatistics(boolean) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
saveValue(Vertex) - Method in interface io.improbable.keanu.network.NetworkSaver
saveValue(DoubleVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
saveValue(IntegerVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
saveValue(BooleanVertex) - Method in interface io.improbable.keanu.network.NetworkSaver
saveValue(Vertex) - Method in class io.improbable.keanu.util.io.DotSaver
saveValue(DoubleVertex) - Method in class io.improbable.keanu.util.io.DotSaver
saveValue(IntegerVertex) - Method in class io.improbable.keanu.util.io.DotSaver
saveValue(BooleanVertex) - Method in class io.improbable.keanu.util.io.DotSaver
saveValue(Vertex) - Method in class io.improbable.keanu.util.io.JsonSaver
saveValue(DoubleVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
saveValue(IntegerVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
saveValue(BooleanVertex) - Method in class io.improbable.keanu.util.io.JsonSaver
saveValue(Vertex) - Method in class io.improbable.keanu.util.io.ProtobufSaver
saveValue(DoubleVertex) - Method in class io.improbable.keanu.util.io.ProtobufSaver
saveValue(IntegerVertex) - Method in class io.improbable.keanu.util.io.ProtobufSaver
saveValue(BooleanVertex) - Method in class io.improbable.keanu.util.io.ProtobufSaver
saveValue(NetworkSaver) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
saveValue(NetworkSaver) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
saveValue(NetworkSaver) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
saveValue(NetworkSaver) - Method in class io.improbable.keanu.vertices.Vertex
saveValues(NetworkSaver) - Method in class io.improbable.keanu.network.BayesianNetwork
SaveVertexParam - Annotation Type in io.improbable.keanu.vertices
scalar(boolean) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
scalar(boolean) - Static method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
scalar(double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
scalar(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
scalar(double) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
scalar(double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
scalar(double) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
scalar(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
scalar(T) - Static method in class io.improbable.keanu.tensor.generic.GenericTensor
scalar(int) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
scalar(int) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
scalar() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
scalar(DATA) - Static method in interface io.improbable.keanu.tensor.Tensor
scalar() - Method in interface io.improbable.keanu.tensor.Tensor
SCALAR_SHAPE - Static variable in interface io.improbable.keanu.tensor.Tensor
SCALAR_STRIDE - Static variable in interface io.improbable.keanu.tensor.Tensor
ScalarIntegerTensor - Class in io.improbable.keanu.tensor.intgr
ScalarIntegerTensor(int) - Constructor for class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
ScalarIntegerTensor(long[]) - Constructor for class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
SCALE_NAME - Static variable in class io.improbable.keanu.vertices.dbl.probabilistic.CauchyVertex
select(List<? extends Variable>, int) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.FullVariableSelector
select(List<? extends Variable>, int) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.MHStepVariableSelector
select(List<? extends Variable>, int) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.SingleVariableSelector
selectDimensions(int, int, long[]) - Static method in class io.improbable.keanu.tensor.TensorShape
Sequence - Class in io.improbable.keanu.templating
Sequence(int, int, String) - Constructor for class io.improbable.keanu.templating.Sequence
SequenceBuilder<T> - Class in io.improbable.keanu.templating: SequenceBuilder allows sequences to be constructed in steps
SequenceBuilder() - Constructor for class io.improbable.keanu.templating.SequenceBuilder
SequenceBuilder.FromCount - Class in io.improbable.keanu.templating: An intermediate builder, with a set count
SequenceBuilder.FromCountFactories - Class in io.improbable.keanu.templating: Build some number of sequence items
SequenceBuilder.FromDataFactories - Class in io.improbable.keanu.templating: Build Sequence from some provided Data
SequenceBuilder.FromIterator - Class in io.improbable.keanu.templating: An intermediate builder, with a set data iterator
SequenceConstructionException - Exception in io.improbable.keanu.templating: This extends RuntimeException because Sequence are typically used inside a lambda function And checked exceptions in a lambda must be caught, which leads to ugly code See https://stackoverflow.com/a/27668305/741789
SequenceConstructionException(String) - Constructor for exception io.improbable.keanu.templating.SequenceConstructionException
SequenceConstructionException(String, Throwable) - Constructor for exception io.improbable.keanu.templating.SequenceConstructionException
SequenceItem - Class in io.improbable.keanu.templating
SequenceItem(int, int) - Constructor for class io.improbable.keanu.templating.SequenceItem
SequenceItem(int, int, String) - Constructor for class io.improbable.keanu.templating.SequenceItem
SequenceLoader - Class in io.improbable.keanu.templating
SequenceLoader() - Constructor for class io.improbable.keanu.templating.SequenceLoader
set(Boolean, long) - Method in class io.improbable.keanu.tensor.bool.BooleanBuffer.BooleanArrayWrapper
set(BooleanBuffer.PrimitiveBooleanWrapper, long[], long[]) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
set(T, long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveArrayWrapper
set(T, long) - Method in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
set(Double, long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
set(DoubleBuffer.PrimitiveDoubleWrapper, long[], long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
set(INDArray) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
set(T, long) - Method in class io.improbable.keanu.tensor.generic.GenericBuffer.GenericArrayWrapper
set(GenericBuffer.PrimitiveGenericWrapper<T>, long[], long[]) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
set(INDArray) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
set(B, long[], long[]) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
set(INDArray) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
set(long, N) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
setAllInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
setAllInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
setAllInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
setAllInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
setAllInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
setAllowedProbabilityError(double) - Static method in class io.improbable.keanu.distributions.discrete.Multinomial
setAndCascade(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
setAndCascade(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
setAndCascade(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setAndCascade(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setAndCascade(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
setAndCascade(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
setAndCascade(T) - Method in class io.improbable.keanu.vertices.Vertex: This sets the value in this vertex and tells each child vertex about the new change.
setDefaultPrintStream(PrintStream) - Static method in class io.improbable.keanu.util.status.StatusBar: Override the default print stream globally
setDefaultRandomSeed(long) - Static method in class io.improbable.keanu.KeanuRandom
setFromSampleAndCascade(List<? extends Vertex>) - Static method in class io.improbable.keanu.network.BayesianNetwork
setFromSampleAndCascade(List<? extends Vertex>, KeanuRandom) - Static method in class io.improbable.keanu.network.BayesianNetwork
setLabel(VertexLabel) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
setLabel(VertexLabel) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
setLabel(VertexLabel) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
setLabel(VertexLabel) - Method in class io.improbable.keanu.vertices.Vertex: Set a label for this vertex.
setLabel(String) - Method in class io.improbable.keanu.vertices.Vertex
setMessage(String) - Method in class io.improbable.keanu.util.status.StatusBar
setParent(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex
setParent(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
setParent(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex
setParent(T) - Method in interface io.improbable.keanu.vertices.ProxyVertex
setParents(Collection<? extends Vertex>) - Method in class io.improbable.keanu.vertices.Vertex
setParents(Vertex<?>...) - Method in class io.improbable.keanu.vertices.Vertex
setPrintStream(PrintStream) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
setProposal(Variable<T, ?>, T) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.Proposal
setRandom(KeanuRandom) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
setRandom(KeanuRandom) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
setRandom(KeanuRandom) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
setState(NetworkState) - Method in class io.improbable.keanu.network.BayesianNetwork
setState(VertexState<T>) - Method in class io.improbable.keanu.vertices.Vertex
SetterMatcher - Class in io.improbable.keanu.util.csv.pojo: This finds an appropriate setter method for a given csv title.
setText(String) - Method in class io.improbable.keanu.util.status.TextComponent: Sets the text to be displayed by the component.
setToAbsoluteDimensions(int, int[]) - Static method in class io.improbable.keanu.tensor.TensorShape: It's possible to express negative dimensions, which are relative to the rank of a tensor.
setValue(N, long...) - Method in interface io.improbable.keanu.tensor.Tensor
setValue(String) - Method in class io.improbable.keanu.util.io.VertexDotLabel
setValue(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
setValue(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
setValue(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setValue(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setValue(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
setValue(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
setValue(T) - Method in class io.improbable.keanu.vertices.Vertex: Sets the value if the vertex isn't already observed.
setWithMask(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
setWithMask(T, N) - Method in interface io.improbable.keanu.tensor.NumberTensor
setWithMask(DoubleVertex, double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setWithMask(DoubleVertex, DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
setWithMaskInPlace(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
setWithMaskInPlace(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
setWithMaskInPlace(TENSOR, T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
setWithMaskInPlace(T, N) - Method in interface io.improbable.keanu.tensor.NumberTensor
shape - Variable in class io.improbable.keanu.tensor.jvm.JVMTensor
shapeDesiredToRankByAppendingOnes(long[], int) - Static method in class io.improbable.keanu.tensor.TensorShape
shapeToDesiredRankByPrependingOnes(long[], int) - Static method in class io.improbable.keanu.tensor.TensorShape
SIGMA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
SIGMA_NAME - Static variable in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
sigmoid() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sigmoid() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
sigmoidInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
sigmoidInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sigmoidInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
SigmoidVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
SigmoidVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex: Applies the sigmoid function to a vertex.
SimpleNetworkState - Class in io.improbable.keanu.network
SimpleNetworkState(Map<VariableReference, ?>) - Constructor for class io.improbable.keanu.network.SimpleNetworkState
SimpleVertexDictionary - Class in io.improbable.keanu.vertices
SimulatedAnnealing - Class in io.improbable.keanu.algorithms.mcmc: Simulated Annealing is a modified version of Metropolis Hastings that causes the MCMC random walk to tend towards the Maximum A Posteriori (MAP)
SimulatedAnnealing() - Constructor for class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing
SimulatedAnnealing() - Constructor for class io.improbable.keanu.Keanu.Sampling.SimulatedAnnealing
SimulatedAnnealing.AnnealingSchedule - Interface in io.improbable.keanu.algorithms.mcmc: An annealing schedule determines how T (temperature) changes as a function of the current iteration number (i.e.
SimulatedAnnealing.SimulatedAnnealingBuilder - Class in io.improbable.keanu.algorithms.mcmc
SimulatedAnnealingBuilder() - Constructor for class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
sin() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sin() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
SINGLE_VARIABLE_SELECTOR - Static variable in interface io.improbable.keanu.algorithms.mcmc.proposal.MHStepVariableSelector
SingleValueWrapper(T) - Constructor for class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
SingleVariableSelector - Class in io.improbable.keanu.algorithms.mcmc.proposal
sinh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sinhInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
sinhInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sinhInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
sinInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
sinInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sinInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
SinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
SinVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex: Takes the sine of a vertex.
size() - Method in class io.improbable.keanu.algorithms.NetworkSamples
size() - Method in class io.improbable.keanu.templating.Sequence
size() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator
size() - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
slice(int, long) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
slice(Slicer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
slice(int, long) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
slice(Slicer) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
slice(JVMBuffer.ArrayWrapperFactory<T, B>, B, IndexMapper) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
slice(Long, Long, Long) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice(Integer, Integer, Integer) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice(Long, Long) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice(Integer, Integer) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice(Long) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice(Integer) - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
slice() - Method in class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder: Take all indices.
slice(int, long) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
slice(Slicer) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
slice(int, long) - Method in interface io.improbable.keanu.tensor.Tensor
slice(String) - Method in interface io.improbable.keanu.tensor.Tensor
slice(Slicer) - Method in interface io.improbable.keanu.tensor.Tensor
slice(int, long) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
slice(int, int) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
slice(int, int) - Method in class io.improbable.keanu.vertices.generic.GenericTensorVertex
slice(int, int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
sliceAlongDimension(int, long, long) - Method in interface io.improbable.keanu.tensor.Tensor
Slicer - Class in io.improbable.keanu.tensor.jvm
Slicer.SlicerBuilder - Class in io.improbable.keanu.tensor.jvm
Slicer.StartStopStep - Class in io.improbable.keanu.tensor.jvm
SlicerBuilder() - Constructor for class io.improbable.keanu.tensor.jvm.Slicer.SlicerBuilder
SlicerIndexMapper - Class in io.improbable.keanu.tensor.jvm: This class provides shape calculation and index mapping for the slice operation.
SlicerIndexMapper(Slicer, long[], long[]) - Constructor for class io.improbable.keanu.tensor.jvm.SlicerIndexMapper
SliceVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
SliceVertex(DoubleVertex, int, long) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex: Takes the slice along a given dimension and index of a vertex
slideDimension(int, int, int) - Static method in class io.improbable.keanu.tensor.TensorShape
SmoothUniform - Class in io.improbable.keanu.distributions.continuous: The Smooth Uniform distribution is the usual Uniform distribution with the edges at max and min smoothed by attaching a sigmoid as shoulders.
SmoothUniformVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
SmoothUniformVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex: One xMin or Xmax or both that match a proposed tensor shape of Smooth Uniform
SmoothUniformVertex(DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex: One to one constructor for mapping some shape of mu and sigma to a matching shaped Smooth Uniform.
SmoothUniformVertex(DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(double, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], double, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
SmoothUniformVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
sort(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.TopologicalSort: This algorithm returns a linear ordering of vertices such that for every edge uv from vertex u to vertex v; u comes before v in the ordering.
sort(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.particlefiltering.LatentIncrementSort: Orders observed vertices by the smallest increment of additional latent vertices upstream of the observed vertex.
split(int, long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
split(int, long...) - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
split(JVMBuffer.ArrayWrapperFactory<T, B>, B, long[], long[], int, long...) - Static method in class io.improbable.keanu.tensor.jvm.JVMTensor
split(INDArray, int, long...) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayExtensions
split(int, long...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
split(int, long...) - Method in interface io.improbable.keanu.tensor.Tensor
sqrt() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
SQRT_2PI - Static variable in class io.improbable.keanu.distributions.continuous.Gaussian
sqrtInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
sqrtInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
sqrtInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
squeeze() - Method in interface io.improbable.keanu.tensor.Tensor
stack(int, BooleanTensor...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
stack(int, DoubleTensor...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
stack(int, IntegerTensor...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
standardDeviation() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
standardDeviation() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
standardDeviation() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
standardDeviation() - Method in interface io.improbable.keanu.tensor.NumberTensor
standardErrorForGradient() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator: Calculate the standard error, which is the unbiased estimate of the standard deviation of the gradient From https://www2.isye.gatech.edu/~yxie77/isye2028/lecture12.pdf
standardErrorForIntercept() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator: Calculate the standard error, which is the unbiased estimate of the standard deviation of the intercept From https://www2.isye.gatech.edu/~yxie77/isye2028/lecture12.pdf
standardize() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
standardizeInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
standardizeInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
standardizeInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
START_PLUS_ONE_STOP - Static variable in class io.improbable.keanu.tensor.jvm.Slicer.StartStopStep
startNewThreadForNd4j() - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
Statistics - Class in io.improbable.keanu.algorithms
Statistics(Enum[]) - Constructor for class io.improbable.keanu.algorithms.Statistics
StatusBar - Class in io.improbable.keanu.util.status
StatusBar(PrintStream, ScheduledExecutorService) - Constructor for class io.improbable.keanu.util.status.StatusBar
StatusBar(PrintStream) - Constructor for class io.improbable.keanu.util.status.StatusBar
StatusBar(ScheduledExecutorService) - Constructor for class io.improbable.keanu.util.status.StatusBar
StatusBar() - Constructor for class io.improbable.keanu.util.status.StatusBar
StatusBarComponent - Interface in io.improbable.keanu.util.status
step() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsSampler
step(Set<Variable>, double) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsStep
step(Set<Variable>, double, double) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsStep
step(LeapfrogState, ProbabilisticModelWithGradient, double) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.LeapfrogIntegrator: Performs one leapfrog of the variables with a time delta as defined by timeStep
step() - Method in interface io.improbable.keanu.algorithms.mcmc.SamplingAlgorithm: Move forward the state of the Sampling Algorithm by a single step but do not return anything.
step() - Method in class io.improbable.keanu.algorithms.sampling.ForwardSampler
step() - Method in class io.improbable.keanu.util.status.AverageTimeComponent: Advances the step counter which is used to calculate the average step time.
step() - Method in class io.improbable.keanu.util.status.RemainingTimeComponent: Advances the step counter which is used to calculate the average step time.
STILL_LOOPING_LABEL - Static variable in class io.improbable.keanu.templating.loop.Loop
stoppingTrustRegionRadius(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder
store(Enum, Double) - Method in class io.improbable.keanu.algorithms.Statistics
stream() - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
stream(boolean) - Method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
stream() - Method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
stream(Class<T>, Stream<List<String>>, List<String>) - Static method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
stream(Class<T>, Stream<List<String>>, List<String>, boolean) - Static method in class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser
streamLines() - Method in class io.improbable.keanu.util.csv.CsvReader: Read all lines from the csv file one at a time without ever holding the entire csv file in memory
stride - Variable in class io.improbable.keanu.tensor.jvm.JVMTensor
StringVariableReference - Class in io.improbable.keanu.backend
StringVariableReference() - Constructor for class io.improbable.keanu.backend.StringVariableReference
StudentT - Class in io.improbable.keanu.distributions.continuous: Student T Distribution https://en.wikipedia.org/wiki/Student%27s_t-distribution#Sampling_distribution
StudentTVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
StudentTVertex(long[], IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex: One v that must match a proposed tensor shape of StudentT
StudentTVertex(long[], int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
StudentTVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
StudentTVertex(int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
subi(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.ndj4.INDArrayShim
subtract(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
sum() - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
sum() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
sum() - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
sum() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
sum(int...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
sum() - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
sum(int...) - Method in class io.improbable.keanu.tensor.jvm.JVMNumberTensor
sum(int...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
sum() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
sum() - Method in interface io.improbable.keanu.tensor.NumberTensor
sum(int...) - Method in interface io.improbable.keanu.tensor.NumberTensor
sum() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex: Sum over all dimensions.
sum(int...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex: Sum over specified dimensions.
sum(int...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
sum() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
SumVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
SumVertex(DoubleVertex, int[]) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex: Performs a sum across specified dimensions.
SumVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex: Performs a sum across all dimensions
swapAxis(int, int) - Method in interface io.improbable.keanu.tensor.Tensor

T

T - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
take(long...) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
take(long...) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
take(long...) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
take(long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
take(long...) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
take(long...) - Method in interface io.improbable.keanu.tensor.Tensor
take(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
take(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
take(long...) - Method in class io.improbable.keanu.vertices.generic.GenericTensorVertex
take(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
takeSample(List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.mcmc.SamplingAlgorithm
takeSamples(Map<VariableReference, List<?>>, List<? extends Variable>) - Static method in class io.improbable.keanu.algorithms.mcmc.SamplingUtil
TakeVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
TakeVertex(DoubleVertex, long...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex: A vertex that extracts a scalar at a given index
tan() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
tan() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
tanh() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
tanhInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
tanhInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
tanhInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
tanInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
tanInPlace() - Method in interface io.improbable.keanu.tensor.FloatingPointTensor
tanInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
TanVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
TanVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex: Takes the tangent of a vertex.
targetAcceptanceProb(double) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
tensor - Variable in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
Tensor<N,T extends Tensor<N,T>> - Interface in io.improbable.keanu.tensor
Tensor.FlattenedView<N> - Interface in io.improbable.keanu.tensor
TensorCheckAndRespondValidator<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate
TensorFactories - Class in io.improbable.keanu.tensor
TensorFactories() - Constructor for class io.improbable.keanu.tensor.TensorFactories
tensorMmul(TENSOR, TENSOR, int[], int[]) - Static method in class io.improbable.keanu.tensor.dbl.TensorMulByMatrixMul
TensorMulByMatrixMul - Class in io.improbable.keanu.tensor.dbl
TensorMulByMatrixMul() - Constructor for class io.improbable.keanu.tensor.dbl.TensorMulByMatrixMul
tensorMultiply(DoubleTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
tensorMultiply(IntegerTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
tensorMultiply(TENSOR, int[], int[]) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jFloatingPointTensor
tensorMultiply(TENSOR, int[], int[]) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
tensorMultiply(T, int[], int[]) - Method in interface io.improbable.keanu.tensor.NumberTensor
TensorShape - Class in io.improbable.keanu.tensor
TensorShape(long[]) - Constructor for class io.improbable.keanu.tensor.TensorShape
TensorShapeValidation - Class in io.improbable.keanu.tensor
TensorValidationPolicy<T,TENSOR extends Tensor<T,TENSOR>> - Interface in io.improbable.keanu.tensor.validate.policy
TensorValidator<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Interface in io.improbable.keanu.tensor.validate
TensorValueChecker<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Interface in io.improbable.keanu.tensor.validate.check
TensorValueException - Exception in io.improbable.keanu.tensor
TensorValueException(String, BooleanTensor) - Constructor for exception io.improbable.keanu.tensor.TensorValueException
TensorValueNotEqualsCheck<DATATYPE,TENSOR extends Tensor<DATATYPE,TENSOR>> - Class in io.improbable.keanu.tensor.validate.check
TensorValueNotEqualsCheck(DATATYPE) - Constructor for class io.improbable.keanu.tensor.validate.check.TensorValueNotEqualsCheck
TextComponent - Class in io.improbable.keanu.util.status
TextComponent() - Constructor for class io.improbable.keanu.util.status.TextComponent
thatExpects(Function<TENSOR, BooleanTensor>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator
thatExpectsElementwise(Function<DATATYPE, Boolean>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator
thatExpectsNotToFind(DATATYPE) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator
thatFixesElementwise(Function<DATATYPE, Boolean>, TensorValidationPolicy<DATATYPE, TENSOR>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator
thatReplaces(DATATYPE, DATATYPE) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator
then(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder.BooleanCPTWhenBuilder
then(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder.BooleanCPTWhenBuilder
then(Vertex<GenericTensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder.CPTWhenBuilder
then(Vertex<GenericTensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder.DoubleCPTWhenBuilder
then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder.DoubleCPTWhenBuilder
then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder.IntegerCPTWhenBuilder
then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder.IntegerCPTWhenBuilder
then(Vertex<GenericTensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder
THEN_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
THEN_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex
THETA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
throwMessage(String) - Static method in interface io.improbable.keanu.tensor.validate.policy.TensorValidationPolicy
ThrowValueException<T,TENSOR extends Tensor<T,TENSOR>> - Class in io.improbable.keanu.tensor.validate.policy
TimeComponent - Class in io.improbable.keanu.util.status
TimeComponent() - Constructor for class io.improbable.keanu.util.status.TimeComponent
times(Map<VariableReference, DoubleTensor>, double) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
times(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
times(T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
times(long, T) - Method in interface io.improbable.keanu.tensor.buffer.PrimitiveNumberWrapper
times(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
times(long, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapper
times(Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
times(long, Double) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleWrapper
times(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
times(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
times(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
times(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
times(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
times(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
times(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
times(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
times(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
timesInPlace(Double) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
timesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
timesInPlace(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
timesInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
timesInPlace(T) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
timesInPlace(TENSOR) - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
timesInPlace(N) - Method in interface io.improbable.keanu.tensor.NumberTensor
timesInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
toBayesianNetwork() - Method in class io.improbable.keanu.templating.Sequence
toBooleanArray(byte[], int) - Static method in class io.improbable.keanu.util.Py4jByteArrayConverter: This function is intended to be called from the Python API with the result of np.packbits(...).toBytes().
toByteArray(double[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter
toByteArray(int[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter
toByteArray(boolean[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter
toDouble() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
toDouble() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
toDouble() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
toDouble() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
toDouble() - Method in interface io.improbable.keanu.tensor.NumberTensor
toDouble() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
toDoubleArray(byte[]) - Static method in class io.improbable.keanu.util.Py4jByteArrayConverter
toDoubleMask() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
toDoubleMask() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
toDoubleTensorVariable(Variable<?, ?>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
toFile(File) - Method in class io.improbable.keanu.util.csv.ColumnWriter
toFile(File) - Method in class io.improbable.keanu.util.csv.RowWriter
toFile(File) - Method in class io.improbable.keanu.util.csv.SampleWriter
toFile(File) - Method in class io.improbable.keanu.util.csv.Writer
toFile(String) - Method in class io.improbable.keanu.util.csv.Writer
toGreaterThanMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toGreaterThanMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toGreaterThanOrEqualToMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toGreaterThanOrEqualToMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toInteger() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
toInteger() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
toInteger() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
toInteger() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
toInteger() - Method in interface io.improbable.keanu.tensor.NumberTensor
toInteger() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toIntegerArray(byte[]) - Static method in class io.improbable.keanu.util.Py4jByteArrayConverter
toIntegerMask() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
toIntegerMask() - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
toLessThanMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toLessThanMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toLessThanOrEqualToMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toLessThanOrEqualToMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
toLongArray(byte[]) - Static method in class io.improbable.keanu.util.Py4jByteArrayConverter
toNetworkStates() - Method in class io.improbable.keanu.algorithms.NetworkSamples
TopologicalSort - Class in io.improbable.keanu.algorithms.graphtraversal
toString() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
toString() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
toString() - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
toString() - Method in class io.improbable.keanu.algorithms.sampling.Forward.ForwardBuilder
toString() - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName
toString() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
toString() - Method in class io.improbable.keanu.tensor.jvm.JVMTensor
toString() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
toString() - Method in class io.improbable.keanu.vertices.Vertex
toString() - Method in class io.improbable.keanu.vertices.VertexId
toString() - Method in class io.improbable.keanu.vertices.VertexLabel
toStringReference() - Method in interface io.improbable.keanu.algorithms.VariableReference
toStringReference() - Method in class io.improbable.keanu.backend.StringVariableReference
toStringReference() - Method in class io.improbable.keanu.vertices.VertexId
totalNumberOfLatentDimensions(List<long[]>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
TransitiveClosure - Class in io.improbable.keanu.network: A Transitive Closure is defined as a given vertex and all the vertices that it affects (downstream) OR all of the vertices that affects it (upstream).
transpose() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
transpose() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jTensor
transpose() - Method in interface io.improbable.keanu.tensor.Tensor
transpose() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
Triangular - Class in io.improbable.keanu.distributions.continuous
TriangularVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
TriangularVertex(long[], DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex: One xMin, xMax, c or all three that match a proposed tensor shape of Triangular
TriangularVertex(long[], DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(long[], DoubleVertex, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(long[], DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(long[], double, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(long[], double, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(long[], double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex: One to one constructor for mapping some shape of xMin, xMax and c to a matching shaped triangular.
TriangularVertex(DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(DoubleVertex, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(double, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(double, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TriangularVertex(double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
TRUE - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex
trues(long...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
TypedINDArrayFactory - Class in io.improbable.keanu.tensor.ndj4
TypedINDArrayFactory() - Constructor for class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory

U

unaryMinus() - Method in interface io.improbable.keanu.tensor.NumberTensor
unaryMinus() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
unaryMinus() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.ndj4.Nd4jNumberTensor
unaryMinusInPlace() - Method in interface io.improbable.keanu.tensor.NumberTensor
UnaryOpLambda<IN,OUT> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
UnaryOpLambda(long[], Vertex<IN>, Function<IN, OUT>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpLambda
UnaryOpVertex<IN,OUT> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
UnaryOpVertex(long[], Vertex<IN>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
Uniform - Class in io.improbable.keanu.distributions.continuous: Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.1.8 page 48
UniformInt - Class in io.improbable.keanu.distributions.discrete
UniformIntVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic
UniformIntVertex(long[], IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(long[], int, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(long[], IntegerTensor, IntegerTensor) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(long[], IntegerVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(long[], int, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(IntegerVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(int, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformIntVertex(int, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
UniformVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
UniformVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex: One xMin or xMax or both that match a proposed tensor shape of Uniform Vertex
UniformVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex: One to one constructor for mapping some shape of mu and sigma to a matching shaped Uniform Vertex
UniformVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
UniformVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
UniformVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
UniformVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
UniformVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
UniformVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
unobserve() - Method in interface io.improbable.keanu.vertices.Observable
unobserve() - Method in class io.improbable.keanu.vertices.Vertex
update(Map<VariableReference, DoubleTensor>) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.AdaptiveQuadraticPotential
update(Map<VariableReference, DoubleTensor>) - Method in interface io.improbable.keanu.algorithms.mcmc.nuts.Potential
updateFormula(ConjugateGradient.UpdateFormula) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder
updateValues() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex
updateValues() - Method in interface io.improbable.keanu.vertices.model.ModelVertex
UPPER_BOUND_STOP - Static variable in class io.improbable.keanu.tensor.jvm.Slicer.StartStopStep

V

validate(TENSOR) - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator
validate(DoubleTensor) - Method in class io.improbable.keanu.tensor.validate.NaNFixingTensorValidator
validate(TENSOR) - Method in class io.improbable.keanu.tensor.validate.TensorCheckAndRespondValidator
validate(TENSOR) - Method in interface io.improbable.keanu.tensor.validate.TensorValidator
value(double[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionAdapter
value(double[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionGradientAdapter
value - Variable in class io.improbable.keanu.tensor.buffer.JVMBuffer.SingleValueWrapper
VALUE_IN_LABEL - Static variable in class io.improbable.keanu.templating.loop.Loop
VALUE_OUT_LABEL - Static variable in class io.improbable.keanu.templating.loop.Loop
valueOf(String) - Static method in enum io.improbable.keanu.algorithms.mcmc.nuts.NUTS.Metrics: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker.Norm: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.UpdateFormula: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.model.regression.RegressionRegularization: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.tensor.bool.BroadcastableBooleanOperations: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.tensor.dbl.BroadcastableDoubleOperations: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum io.improbable.keanu.tensor.dbl.KeanuLapack.Triangular: Returns the enum constant of this type with the specified name.
values() - Static method in enum io.improbable.keanu.algorithms.mcmc.nuts.NUTS.Metrics: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker.Norm: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.UpdateFormula: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.algorithms.variational.optimizer.ProbabilityFitness: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.model.regression.RegressionRegularization: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.tensor.bool.BroadcastableBooleanOperations: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.tensor.dbl.BroadcastableDoubleOperations: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum io.improbable.keanu.tensor.dbl.KeanuLapack.Triangular: Returns an array containing the constants of this enum type, in the order they are declared.
Variable<VALUE,STATE extends VariableState> - Interface in io.improbable.keanu.algorithms
VariableImpl<T> - Class in io.improbable.keanu.backend
VariableImpl() - Constructor for class io.improbable.keanu.backend.VariableImpl
VariableReference - Interface in io.improbable.keanu.algorithms: A unique identifier for a Variable, used as a key in Maps
variableSelector(MHStepVariableSelector) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder
variableSelector(MHStepVariableSelector) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder
VariableState - Interface in io.improbable.keanu.network
VariableStateImpl - Class in io.improbable.keanu.backend
VariableStateImpl() - Constructor for class io.improbable.keanu.backend.VariableStateImpl
VariableValues - Class in io.improbable.keanu.algorithms.mcmc.nuts
VarianceCalculator - Class in io.improbable.keanu.algorithms.mcmc.nuts: Uses Welford's online algorithm for computing sample variance
VarianceCalculator(Map<VariableReference, DoubleTensor>, Map<VariableReference, DoubleTensor>, double) - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.VarianceCalculator
vector(boolean...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
vector(double...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
vector(int...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
Vertex<T> - Class in io.improbable.keanu.vertices
Vertex() - Constructor for class io.improbable.keanu.vertices.Vertex
Vertex(long[]) - Constructor for class io.improbable.keanu.vertices.Vertex
VertexBinaryOp<L extends Vertex,R extends Vertex> - Interface in io.improbable.keanu.vertices
VertexDictionary - Interface in io.improbable.keanu.vertices
VertexDotLabel - Class in io.improbable.keanu.util.io
VertexDotLabel(Vertex) - Constructor for class io.improbable.keanu.util.io.VertexDotLabel
VertexId - Class in io.improbable.keanu.vertices: An object representing the ID value of a vertex.
VertexId() - Constructor for class io.improbable.keanu.vertices.VertexId
VertexId(long) - Constructor for class io.improbable.keanu.vertices.VertexId
VertexLabel - Class in io.improbable.keanu.vertices
VertexLabel(String) - Constructor for class io.improbable.keanu.vertices.VertexLabel
VertexLabel(String, String...) - Constructor for class io.improbable.keanu.vertices.VertexLabel
VertexLabel(List<String>, String) - Constructor for class io.improbable.keanu.vertices.VertexLabel
VertexState<T> - Class in io.improbable.keanu.vertices
VertexState() - Constructor for class io.improbable.keanu.vertices.VertexState
VertexUnaryOp<T extends Vertex> - Interface in io.improbable.keanu.vertices
VertexValuePropagation - Class in io.improbable.keanu.algorithms.graphtraversal: This class enables efficient propagation of vertex updates.

W

when(Object...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.BooleanCPTBuilder
when(Object...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder
when(Object...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTRawBuilder
when(Object...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder
when(Object...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder
where(TENSOR, TENSOR) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
where(TENSOR, TENSOR) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor
withDefaultConfig() - Static method in class io.improbable.keanu.Keanu.Sampling.Forward
withDefaultConfig(KeanuRandom) - Static method in class io.improbable.keanu.Keanu.Sampling.Forward
withDefaultConfig() - Static method in class io.improbable.keanu.Keanu.Sampling.MetropolisHastings
withDefaultConfig(KeanuRandom) - Static method in class io.improbable.keanu.Keanu.Sampling.MetropolisHastings
withDefaultConfig() - Static method in class io.improbable.keanu.Keanu.Sampling.NUTS
withDefaultConfig(KeanuRandom) - Static method in class io.improbable.keanu.Keanu.Sampling.NUTS
withDefaultConfig() - Static method in class io.improbable.keanu.Keanu.Sampling.SimulatedAnnealing
withDefaultConfig(KeanuRandom) - Static method in class io.improbable.keanu.Keanu.Sampling.SimulatedAnnealing
withDefaultConfigFor(KeanuProbabilisticModel) - Method in class io.improbable.keanu.Keanu.Sampling.MCMC
withDefaultConfigFor(KeanuProbabilisticModel, KeanuRandom) - Method in class io.improbable.keanu.Keanu.Sampling.MCMC
withDefaultHeader() - Method in class io.improbable.keanu.util.csv.ColumnWriter
withDefaultHeader() - Method in class io.improbable.keanu.util.csv.RowWriter
withDefaultHeader() - Method in class io.improbable.keanu.util.csv.SampleWriter
withDefaultHeader() - Method in class io.improbable.keanu.util.csv.Writer
withDelimiter(String) - Method in class io.improbable.keanu.util.csv.CsvReader: Defaults to a comma "," but could be \t for tab separated files or something else.
withEmptyValue(String) - Method in class io.improbable.keanu.util.csv.Writer
withEscapeCharacter(char) - Method in class io.improbable.keanu.util.csv.Writer
withExtraEntries(Map<VertexLabel, Vertex<?>>) - Method in class io.improbable.keanu.templating.SequenceItem
withExtraEntries(Map<VertexLabel, Vertex<?>>) - Method in class io.improbable.keanu.vertices.SimpleVertexDictionary
withExtraEntries(Map<VertexLabel, Vertex<?>>) - Method in interface io.improbable.keanu.vertices.VertexDictionary
withExtraNamespace(String) - Method in class io.improbable.keanu.vertices.VertexLabel
withFactories(Collection<Consumer<SequenceItem>>) - Method in class io.improbable.keanu.templating.SequenceBuilder.FromCount: Set the SequenceItem factory method, taking no additional data
withFactories(Collection<BiConsumer<SequenceItem, T>>) - Method in class io.improbable.keanu.templating.SequenceBuilder.FromIterator: Set the SequenceItem factory method, taking additional data
withFactory(Consumer<SequenceItem>) - Method in class io.improbable.keanu.templating.SequenceBuilder.FromCount: Set the SequenceItem factory method, taking no additional data
withFactory(BiConsumer<SequenceItem, T>) - Method in class io.improbable.keanu.templating.SequenceBuilder.FromIterator: Set the SequenceItem factory method, taking additional data
withHeader(String...) - Method in class io.improbable.keanu.util.csv.Writer
withHeaderEnabled(boolean) - Method in class io.improbable.keanu.util.csv.Writer
withInitialConditions(V, V...) - Static method in class io.improbable.keanu.templating.loop.Loop: A factory method for creating a loop
withInitialConditions(VertexDictionary) - Static method in class io.improbable.keanu.templating.loop.Loop: A factory method for creating a loop
withInitialState(Vertex<?>) - Method in class io.improbable.keanu.templating.SequenceBuilder
withInitialState(VertexLabel, Vertex<?>) - Method in class io.improbable.keanu.templating.SequenceBuilder
withInitialState(VertexDictionary) - Method in class io.improbable.keanu.templating.SequenceBuilder
withLineEnd(String) - Method in class io.improbable.keanu.util.csv.Writer
withMaxIterations(int) - Method in class io.improbable.keanu.templating.loop.LoopBuilder: An optional method to override the default value
withNumParticles(int) - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
withoutOuterNamespace() - Method in class io.improbable.keanu.vertices.VertexLabel
withParameters(DoubleTensor, DoubleTensor, DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Beta
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Cauchy
withParameters(IntegerTensor) - Static method in class io.improbable.keanu.distributions.continuous.ChiSquared
withParameters(DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Dirichlet
withParameters(DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Exponential
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Gamma
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Gaussian
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.InverseGamma
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Laplace
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Logistic
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.LogNormal
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Pareto
withParameters(DoubleTensor, DoubleTensor, double) - Static method in class io.improbable.keanu.distributions.continuous.SmoothUniform: Will return samples between xMin and xMax as well as samples from the left and right shoulder.
withParameters(IntegerTensor) - Static method in class io.improbable.keanu.distributions.continuous.StudentT: Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.1.23 page 36
withParameters(DoubleTensor, DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Triangular
withParameters(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.continuous.Uniform
withParameters(DoubleTensor) - Static method in class io.improbable.keanu.distributions.discrete.Bernoulli
withParameters(DoubleTensor, IntegerTensor) - Static method in class io.improbable.keanu.distributions.discrete.Binomial
withParameters(Map<CAT, DoubleTensor>) - Static method in class io.improbable.keanu.distributions.discrete.Categorical
withParameters(DoubleTensor) - Static method in class io.improbable.keanu.distributions.discrete.Geometric
withParameters(IntegerTensor, DoubleTensor) - Static method in class io.improbable.keanu.distributions.discrete.Multinomial
withParameters(IntegerTensor, DoubleTensor, boolean) - Static method in class io.improbable.keanu.distributions.discrete.Multinomial
withParameters(DoubleTensor) - Static method in class io.improbable.keanu.distributions.discrete.Poisson
withParameters(IntegerTensor, IntegerTensor) - Static method in class io.improbable.keanu.distributions.discrete.UniformInt
withPriorOnIntercept(DoubleVertex, DoubleVertex) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder: Set the input parameters to the distribution describing the prior belief about the intercept of the regression model
withPriorOnIntercept(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
withPriorOnIntercept(double, double) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
withPriorOnWeights(DoubleVertex, DoubleVertex) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder: Set the input parameters to the distribution describing the prior belief about the weights of the regression model
withPriorOnWeights(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
withPriorOnWeights(double, double) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
withPriorOnWeightsAndIntercept(double, double) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder: Set the input parameters to the distribution describing the prior belief about both the intercept and weights of the regression model
withQuoteCharacter(char) - Method in class io.improbable.keanu.util.csv.Writer
withRandom(KeanuRandom) - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
withRegularization(RegressionRegularization) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder
withResamplingCycles(int) - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
withResamplingProportion(double) - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder
withRespectTo(Vertex) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsOf
withRespectTo(VertexId) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsOf
withRespectToSelf(long[]) - Static method in interface io.improbable.keanu.vertices.dbl.Differentiable
withSampling(SamplingModelFitting) - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder: Optional - use a sampling algorithm to fit the model instead of the default, which is gradient optimization.
withSeparator(char) - Method in class io.improbable.keanu.util.csv.Writer
withShape(double, Map<VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
withTrainingData(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.model.regression.RegressionModel
withTrainingData(DoubleTensor, BooleanTensor) - Static method in class io.improbable.keanu.model.regression.RegressionModel
withTransitionMapping(Map<VertexLabel, VertexLabel>) - Method in class io.improbable.keanu.templating.SequenceBuilder
WriteCsv - Class in io.improbable.keanu.util.csv: This class provides static helper functions for writing csv data
WriteCsv() - Constructor for class io.improbable.keanu.util.csv.WriteCsv
Writer - Class in io.improbable.keanu.util.csv
Writer() - Constructor for class io.improbable.keanu.util.csv.Writer

X

X - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
xMean() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator
xor(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
xorInPlace(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
xorInPlace(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.JVMBooleanTensor

Y

yMean() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator

Z

ZERO_CATCHER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator
zeroes(long) - Method in interface io.improbable.keanu.tensor.buffer.JVMBuffer.PrimitiveNumberWrapperFactory
zeroes(long) - Method in class io.improbable.keanu.tensor.dbl.DoubleBuffer.DoubleArrayWrapperFactory
zeros(Map<VariableReference, DoubleTensor>) - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.VariableValues
zeros(long...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
zeros(long[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensorFactory
zeros(long...) - Static method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensor
zeros(long[]) - Method in class io.improbable.keanu.tensor.dbl.JVMDoubleTensorFactory
zeros(long[]) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
zeros(long[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensorFactory
zeros(long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
zeros(long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
zeros(long[], DataType) - Static method in class io.improbable.keanu.tensor.ndj4.TypedINDArrayFactory

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z