- A - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
-
- a - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex
-
- 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 class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- abs() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- abs() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- abs() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- abs() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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.Nd4jDoubleTensor
-
- absInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- absInPlace() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- absInPlace() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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.dbl.DoubleTensor
-
- acos() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- acos() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- acos() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- acosInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- acosInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- acosInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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(int) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
-
- adaptEnabled(boolean) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder
-
- add(T) - Method in class io.improbable.keanu.plating.Plate
-
- add(VertexLabel, T) - Method in class io.improbable.keanu.plating.Plate
-
- add(Plate) - Method in class io.improbable.keanu.plating.Plates
-
- 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.plating.Plate
-
- addAll(Collection<T>) - Method in class io.improbable.keanu.plating.Plate
-
- addAll(Map<VertexLabel, T>) - Method in class io.improbable.keanu.plating.Plate
-
- 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
-
- 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.INDArrayShim
-
- 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
-
- 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
-
- allFalse() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- allFalse() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- allTrue() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- allTrue() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- 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(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- 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(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- 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
-
- 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.plating.loop.LoopBuilder.LoopBuilder2
-
A mandatory method to specify the iteration step
- apply(BiFunction<Plate, DoubleVertex, DoubleVertex>) - Method in class io.improbable.keanu.plating.loop.LoopBuilder.LoopBuilder2
-
A mandatory method to specify the iteration step
- apply(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- apply(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- apply(Function<Integer, Integer>) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- apply(Function<Integer, Integer>) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- apply(Function<Integer, Integer>) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- apply(Function<N, N>) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- applyInPlace(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- applyInPlace(Function<Double, Double>) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- applyInPlace(Function<Integer, Integer>) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- applyInPlace(Function<Integer, Integer>) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- applyInPlace(Function<N, N>) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- 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, double, double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- 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, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.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)
- 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.dbl.ScalarDoubleTensor
-
- argMax(int) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- argMax() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- argMax(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- argMax() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- argMax(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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.
- 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
-
- asFlatArray() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- asFlatArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- asFlatArray() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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
-
- asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- asFlatDoubleArray() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- 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.Tensor
-
- asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- asFlatIntegerArray() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- 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.Tensor
-
- asFlatList() - Method in interface io.improbable.keanu.tensor.Tensor
-
- asin() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- asin() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- asin() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- asin() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- asinInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- asinInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- asinInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- asList() - Method in class io.improbable.keanu.algorithms.Samples
-
- asList() - Method in class io.improbable.keanu.plating.Plates
-
- 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
-
- 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.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.dbl.DoubleTensor
-
- atan() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atan() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- atan() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- atan2(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- atan2(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- atan2(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atan2(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atan2(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- atan2(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- atan2(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- atan2(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- atan2InPlace(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- atan2InPlace(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- atan2InPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atan2InPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atan2InPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- atan2InPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- atanInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- atanInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- atanInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- average() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- average() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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
-
- 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.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.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.DoubleSetWithMaskVertex
-
- calculate() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex
-
- 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.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.UnaryOpVertex
-
- calculate() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.PrintVertex
-
- 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.LogProbGraph.DoublePlaceholderVertex
-
- calculate() - Method in class io.improbable.keanu.vertices.LogProbGraph.IntegerPlaceHolderVertex
-
- 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
-
- calculateLogProbFor(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.vertices.ProbabilityCalculator
-
- 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 - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic
-
- CastToDoubleVertex(Vertex<? extends NumberTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastToDoubleVertex
-
- castToInteger(INDArray, boolean) - Static method in class io.improbable.keanu.tensor.INDArrayExtensions
-
- CastToIntegerVertex - Class in io.improbable.keanu.vertices.intgr.nonprobabilistic
-
- CastToIntegerVertex(Vertex<? extends NumberTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastToIntegerVertex
-
- Categorical<CATEGORY,TENSOR extends Tensor<CATEGORY>> - Class in io.improbable.keanu.distributions.discrete
-
- CategoricalVertex<CATEGORY,TENSOR extends Tensor<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
-
- CATEGORY_PROBABILITIES_CANNOT_BE_ZERO - Static variable in class io.improbable.keanu.distributions.discrete.Multinomial
-
- 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.dbl.DoubleTensor
-
- ceil() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- ceil() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- ceil() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- ceilInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- ceilInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- ceilInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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>> - 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- choleskyDecomposition() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- choleskyDecomposition() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- clamp(DoubleTensor, DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- clamp(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- clamp(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- clampInPlace(DoubleTensor, DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- clampInPlace(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- clampInPlace(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- clearGraph() - Method in class io.improbable.keanu.util.io.ProtobufSaver
-
- coefficientOfDetermination(DoubleTensor, DoubleTensor) - Static method in class io.improbable.keanu.model.ModelScoring
-
- 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
- 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
-
- concat(int, BooleanTensor[]) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- 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(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(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
-
- CONDITION_LABEL - Static variable in class io.improbable.keanu.plating.loop.Loop
-
- ConditionalProbabilityTable - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
-
- ConditionalProbabilityTable.CPTBuilder<T,OUT extends Tensor<T>> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
-
- ConditionalProbabilityTable.CPTBuilder.CPTWhenBuilder<T,OUT extends Tensor<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
-
- 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
-
- 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
-
- convertFromPoint(double[], List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer
-
- 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
-
- 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.dbl.DoubleTensor
-
- cos() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- cos() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- cos() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- cosInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- cosInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- cosInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.plating.PlateBuilder
-
Build a fixed number of plates without additional data
- CPTBuilder(List<Vertex<? extends Tensor<Boolean>>>, Map<CPTCondition, Vertex<OUT>>) - 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<Boolean>>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTRawBuilder
-
- CPTVertex<OUT extends Tensor> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic
-
- CPTVertex(List<Vertex<? extends Tensor<Boolean>>>, Map<CPTCondition, ? extends Vertex<OUT>>, Vertex<OUT>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTVertex
-
- CPTWhenRawBuilder(List<Boolean>, List<Vertex<? extends Tensor<Boolean>>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder
-
- create(Set<? extends Vertex>) - Static method in class io.improbable.keanu.network.NetworkSnapshot
-
- 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(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[]) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- create(double, long[]) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- create(T[], long[]) - Static 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(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(DATA[], long[]) - Static method in interface io.improbable.keanu.tensor.Tensor
-
- create(double[], long[], DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory
-
- 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.
- 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
-
- CustomElementwiseTensorValueChecker<DATATYPE,TENSOR extends Tensor<DATATYPE>> - Class in io.improbable.keanu.tensor.validate.check
-
- CustomElementwiseTensorValueChecker(Function<DATATYPE, Boolean>) - Constructor for class io.improbable.keanu.tensor.validate.check.CustomElementwiseTensorValueChecker
-
- CustomTensorValueChecker<TENSOR extends Tensor<?>> - Class in io.improbable.keanu.tensor.validate.check
-
- CustomTensorValueChecker(Function<TENSOR, BooleanTensor>) - Constructor for class io.improbable.keanu.tensor.validate.check.CustomTensorValueChecker
-
- 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>> - Class in io.improbable.keanu.tensor.validate
-
- DebugTensorValidator(TensorValidator<DATATYPE, TENSOR>) - Constructor for class io.improbable.keanu.tensor.validate.DebugTensorValidator
-
- 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.plating.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
-
- determinant() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- determinant() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- determinant() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- diag() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- diag() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- diag() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- diag() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- diag() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- diag() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- diag() - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- 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.dbl.DoubleTensor
-
- digamma() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- digamma() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- digammaInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- digammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- digammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- div(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- div(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- div(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- div(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- div(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- div(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- div(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- div(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- div(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- div(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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.INDArrayShim
-
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- divInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- divInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- divInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- divInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- divInPlace(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- divInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- divInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- divInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- divInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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(TENSOR, 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.plating.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
- 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
-
- DoubleBinaryOpLambda<A,B> - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary
-
- DoubleBinaryOpLambda(long[], Vertex<A>, Vertex<B>, 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<B>, BiFunction<A, B, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
-
- DoubleBinaryOpLambda(Vertex<A>, Vertex<B>, 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<B>, 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
- DoubleCPTBuilder(List<Vertex<? extends Tensor<Boolean>>>, 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<Boolean>>>, 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(long...) - Constructor for class io.improbable.keanu.vertices.LogProbGraph.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) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex
-
- DoubleSetWithMaskVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple
-
- DoubleSetWithMaskVertex(DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.DoubleSetWithMaskVertex
-
- DoubleTensor - Interface in io.improbable.keanu.tensor.dbl
-
- 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.SimpleBooleanTensor
-
- downSample(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
-
- downSampleInterval(int) - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
-
- drop(int) - Method in class io.improbable.keanu.algorithms.NetworkSamples
-
- dropCount(int) - Method in class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator
-
- duplicate() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- duplicate() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- duplicate() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- duplicate() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- duplicate() - Method in interface io.improbable.keanu.tensor.Tensor
-
- 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(DoubleTensor) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
-
- GaussianProposalDistribution(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
-
- GenericSliceVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary
-
- GenericSliceVertex(Vertex<Tensor<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<Tensor<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
-
- GenericTensor(T[], long[]) - Constructor for class io.improbable.keanu.tensor.generic.GenericTensor
-
- GenericTensor(T[]) - Constructor for class io.improbable.keanu.tensor.generic.GenericTensor
-
- GenericTensor(T) - Constructor for class io.improbable.keanu.tensor.generic.GenericTensor
-
- GenericTensor(long[], T) - Constructor for class io.improbable.keanu.tensor.generic.GenericTensor
-
- GenericTensorVertex<T extends Tensor> - 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
-
- 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.plating.Plate
-
- get(long) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
-
- 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.binary.BooleanBinaryOpVertex
-
- getA() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
-
- getA() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex
-
- getAbsoluteDimension(int, int) - Static method in class io.improbable.keanu.tensor.TensorShape
-
Finds the absolute dimension for a shape
- getAbsoluteDimensions(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.
- 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.binary.BooleanBinaryOpVertex
-
- 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
-
- 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
-
- 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
-
- 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.plating.PlateBuilder.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
-
- 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
-
- 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.SimpleBooleanTensor
-
- getFlattenedView() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getFlattenedView() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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
-
- getGreaterThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getGreaterThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getGreaterThanMask(INDArray, INDArray, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- getGreaterThanMask(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- getGreaterThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getGreaterThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getGreaterThanMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- getGreaterThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getGreaterThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getGreaterThanOrEqualToMask(INDArray, INDArray, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- getGreaterThanOrEqualToMask(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- getGreaterThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getGreaterThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getGreaterThanOrEqualToMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- 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.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() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex
-
- getInputArray() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.multiple.IntegerConcatenationVertex
-
- 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.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.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
-
- 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.plating.PlateBuilder.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
-
- 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
-
- getLastPlate() - Method in class io.improbable.keanu.plating.Plates
-
- 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 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.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
-
- getLeft() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
-
- getLength() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- getLength() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getLength() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getLength() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- getLength() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getLength() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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
-
- getLessThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getLessThanMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getLessThanMask(INDArray, INDArray, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- getLessThanMask(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- getLessThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getLessThanMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getLessThanMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- getLessThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getLessThanOrEqualToMask(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getLessThanOrEqualToMask(INDArray, INDArray, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- getLessThanOrEqualToMask(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- getLessThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getLessThanOrEqualToMask(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getLessThanOrEqualToMask(T) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- 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.multiple.DoubleSetWithMaskVertex
-
- 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(int...) - 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
-
- 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
-
- 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.multiple.DoubleSetWithMaskVertex
-
- getOperands() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex
-
- 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.plating.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
-
- 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
-
- getPlaceholder(Vertex<T>) - Method in class io.improbable.keanu.vertices.LogProbGraph
-
- getPlates() - Method in class io.improbable.keanu.plating.loop.Loop
-
- 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
-
- 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<Variable>, KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution
-
- getProposal(Set<Variable>, KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution
-
- getProposal(Set<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.plating.Plate
-
- 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.bool.SimpleBooleanTensor
-
- getRank() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getRank() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getRank() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- getRank() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getRank() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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
-
- getReference() - Method in interface io.improbable.keanu.algorithms.Variable
-
- getReference() - Method in class io.improbable.keanu.vertices.Vertex
-
- getResult() - Method in exception io.improbable.keanu.tensor.TensorValueException
-
- 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
-
- 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
-
- 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.multiple.DoubleSetWithMaskVertex
-
- getShape() - Method in interface io.improbable.keanu.algorithms.Variable
-
- getShape() - Method in interface io.improbable.keanu.algorithms.variational.optimizer.HasShape
-
- getShape() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- getShape() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getShape() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getShape() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- getShape() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getShape() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getShape() - Method in interface io.improbable.keanu.tensor.Tensor
-
- getShape() - Method in class io.improbable.keanu.tensor.TensorShape
-
- 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
-
- getState() - Method in interface io.improbable.keanu.algorithms.Variable
-
- getState() - Method in class io.improbable.keanu.vertices.Vertex
-
- getStatistics() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS
-
- 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
-
- getTheta() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
-
- 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
-
- getUnqualifiedName() - Method in class io.improbable.keanu.vertices.VertexLabel
-
- 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
-
- 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.distributions.hyperparam.Diff
-
- getValue(long...) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- getValue(long...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- getValue(long[]) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- getValue(long...) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- getValue(long...) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- getValue(long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- getValue(long...) - Method in interface io.improbable.keanu.tensor.Tensor
-
- getValue(int...) - Method in interface io.improbable.keanu.tensor.Tensor
-
- getValue(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex
-
- getValue(int...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- getValue(int...) - 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
-
- getVertexByLabel(VertexLabel) - Method in class io.improbable.keanu.network.BayesianNetwork
-
- getVertexCount() - Method in class io.improbable.keanu.network.BayesianNetwork
-
- getVertices(Vertex, Function<Vertex, Collection<Vertex>>, Predicate<Vertex>) - Static method in class io.improbable.keanu.network.LambdaSection
-
- 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(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- greaterThan(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- greaterThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- greaterThan(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- greaterThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- greaterThan(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- greaterThan(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- greaterThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- greaterThan(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- greaterThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- greaterThan(T) - 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
-
- greaterThanOrEqual(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- greaterThanOrEqual(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- greaterThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- greaterThanOrEqual(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- greaterThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- greaterThanOrEqual(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- greaterThanOrEqual(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- greaterThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- greaterThanOrEqual(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- greaterThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- greaterThanOrEqual(T) - 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
-
- GreaterThanOrEqualVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
-
- GreaterThanOrEqualVertex(Vertex<A>, Vertex<B>) - 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<B>) - 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.INDArrayShim
-
- ID_GENERATOR - Static variable in class io.improbable.keanu.vertices.VertexId
-
- 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<? extends Tensor<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<? extends Tensor<T>>, Vertex<? extends Tensor<T>>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
-
- incrementIndentation() - Method in class io.improbable.keanu.network.BayesianNetwork
-
- INDArrayExtensions - Class in io.improbable.keanu.tensor
-
- INDArrayExtensions() - Constructor for class io.improbable.keanu.tensor.INDArrayExtensions
-
- INDArrayShim - Class in io.improbable.keanu.tensor
-
This class provides shim methods for the ND4J INDArray class.
- INDArrayShim() - Constructor for class io.improbable.keanu.tensor.INDArrayShim
-
- inDotFormat(GraphEdge) - Static method in class io.improbable.keanu.util.io.EdgeDotLabel
-
- inDotFormat() - Method in class io.improbable.keanu.util.io.VertexDotLabel
-
- 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.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.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<B>, BiFunction<A, B, IntegerTensor>) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda
-
- IntegerBinaryOpLambda(Vertex<A>, Vertex<B>, 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<Boolean>>>, 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<Boolean>>>, 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
- IntegerPlaceHolderVertex(long...) - Constructor for class io.improbable.keanu.vertices.LogProbGraph.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) - 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, int) - 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) - Constructor for class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex
-
Performs a sum across each value stored in a vertex
- 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.SimpleBooleanTensor
-
- 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
-
- 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.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.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.plating - package io.improbable.keanu.plating
-
- io.improbable.keanu.plating.loop - package io.improbable.keanu.plating.loop
-
- io.improbable.keanu.randomfactory - package io.improbable.keanu.randomfactory
-
- io.improbable.keanu.tensor - package io.improbable.keanu.tensor
-
- io.improbable.keanu.tensor.bool - package io.improbable.keanu.tensor.bool
-
- 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.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.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.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
-
- isDifferentiable() - Method in class io.improbable.keanu.vertices.Vertex
-
- isDifferentiableWrtLatents(Collection<Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.DifferentiableChecker
-
- isImpossibleLogProb(double) - Static method in class io.improbable.keanu.vertices.ProbabilityCalculator
-
Tells you if a value of log probability is impossible, i.e.
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- isObserved() - Method in interface io.improbable.keanu.vertices.Observable
-
- isObserved() - Method in class io.improbable.keanu.vertices.Vertex
-
- 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
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- isShapePlaceholder() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- isShapePlaceholder() - Method in interface io.improbable.keanu.tensor.Tensor
-
- 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.plating.loop.LoopBuilder
-
A mandatory method to specify the condition
- iterateWhile(Function<Plate, BooleanVertex>) - Method in class io.improbable.keanu.plating.loop.LoopBuilder
-
A mandatory method to specify the condition
- iterator() - Method in class io.improbable.keanu.plating.Plates
-
- 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
-
- 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.
- 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(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- lessThan(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- lessThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- lessThan(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- lessThan(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- lessThan(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- lessThan(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- lessThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- lessThan(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- lessThan(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- lessThan(T) - 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
-
- lessThanOrEqual(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- lessThanOrEqual(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- lessThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- lessThanOrEqual(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- lessThanOrEqual(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- lessThanOrEqual(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- lessThanOrEqual(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- lessThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- lessThanOrEqual(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- lessThanOrEqual(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- lessThanOrEqual(T) - 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
-
- LessThanOrEqualVertex<A extends NumberTensor,B extends NumberTensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare
-
- LessThanOrEqualVertex(Vertex<A>, Vertex<B>) - 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<B>) - 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) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- linspace(double, double, int, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.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
-
- 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.dbl.DoubleTensor
-
- log() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- log() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- log() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- logGamma() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- logGamma() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- logGamma() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- logGamma() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- logGammaInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- logGammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- logGammaInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- logInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- logInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.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(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(TENSOR) - 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(TENSOR) - 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(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.MultivariateGaussian
-
- 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.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 - 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.DoublePlaceholderVertex - Class in io.improbable.keanu.vertices
-
- LogProbGraph.IntegerPlaceHolderVertex - Class in io.improbable.keanu.vertices
-
- LogProbGraphSupplier - Interface in io.improbable.keanu.vertices
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Beta
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Cauchy
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.IntegerPlaceHolderVertex) - Static method in class io.improbable.keanu.distributions.continuous.ChiSquared
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Dirichlet
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Exponential
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Gamma
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Gaussian
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.InverseGamma
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Laplace
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Logistic
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.LogNormal
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Pareto
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, double) - Static method in class io.improbable.keanu.distributions.continuous.SmoothUniform
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.IntegerPlaceHolderVertex) - Static method in class io.improbable.keanu.distributions.continuous.StudentT
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Triangular
-
- logProbOutput(LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex, LogProbGraph.DoublePlaceholderVertex) - Static method in class io.improbable.keanu.distributions.continuous.Uniform
-
- 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.plating.loop
-
A Loop object is a convenient wrapper around some Plates.
- LOOP_LABEL - Static variable in class io.improbable.keanu.plating.loop.Loop
-
- LoopBuilder - Class in io.improbable.keanu.plating.loop
-
- LoopBuilder.LoopBuilder2 - Class in io.improbable.keanu.plating.loop
-
- LoopConstructionException - Exception in io.improbable.keanu.plating.loop
-
- LoopConstructionException(String) - Constructor for exception io.improbable.keanu.plating.loop.LoopConstructionException
-
- LoopConstructionException(String, Throwable) - Constructor for exception io.improbable.keanu.plating.loop.LoopConstructionException
-
- LoopDidNotTerminateException - Exception in io.improbable.keanu.plating.loop
-
- LoopDidNotTerminateException(String) - Constructor for exception io.improbable.keanu.plating.loop.LoopDidNotTerminateException
-
- LoopDidNotTerminateException(String, Throwable) - Constructor for exception io.improbable.keanu.plating.loop.LoopDidNotTerminateException
-
- lt(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- 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
-
- 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
-
- PercentageComponent() - Constructor for class io.improbable.keanu.util.status.PercentageComponent
-
- permute(int...) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- permute(int...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- permute(int...) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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
-
- Plate - Class in io.improbable.keanu.plating
-
- Plate() - Constructor for class io.improbable.keanu.plating.Plate
-
- PlateBuilder<T> - Class in io.improbable.keanu.plating
-
PlateBuilder allows plates to be constructed in steps
- PlateBuilder() - Constructor for class io.improbable.keanu.plating.PlateBuilder
-
- PlateBuilder.FromCount - Class in io.improbable.keanu.plating
-
An intermediate builder, with a set count
- PlateBuilder.FromCountFactory - Class in io.improbable.keanu.plating
-
Build some number of plates
- PlateBuilder.FromDataFactory - Class in io.improbable.keanu.plating
-
Build Plates from some provided Data
- PlateBuilder.FromIterator - Class in io.improbable.keanu.plating
-
An intermediate builder, with a set data iterator
- PlateConstructionException - Exception in io.improbable.keanu.plating
-
This extends RuntimeException because Plates 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
- PlateConstructionException(String) - Constructor for exception io.improbable.keanu.plating.PlateConstructionException
-
- PlateConstructionException(String, Throwable) - Constructor for exception io.improbable.keanu.plating.PlateConstructionException
-
- Plates - Class in io.improbable.keanu.plating
-
- Plates(int) - Constructor for class io.improbable.keanu.plating.Plates
-
- plus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- plus(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- plus(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- plus(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- plus(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- plus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- plus(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- plus(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- plus(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- plus(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- plus(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- plusInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- plusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- plusInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- plusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- plusInPlace(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- plusInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- plusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- plusInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- plusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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
-
- pow(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- pow(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- pow(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- pow(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- pow(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- pow(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- pow(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- pow(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- pow(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- pow(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- pow(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- pow(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- powInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- powInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- powInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- powInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- powInPlace(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- powInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- powInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- powInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- powInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- powInPlace(T) - 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
-
- 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
-
- ProbabilisticInteger - Interface in io.improbable.keanu.vertices.intgr.probabilistic
-
- ProbabilisticModel - Interface in io.improbable.keanu.algorithms
-
A model composed of
Variable
s 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
-
- 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.dbl.DoubleTensor
-
- product() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- product() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- progress(double) - Method in class io.improbable.keanu.util.status.PercentageComponent
-
- 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
ProposalListener
s 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
-
- 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
-
- proxyFor(VertexLabel) - Static method in class io.improbable.keanu.plating.PlateBuilder
-
- 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
-
- S - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs
-
- safeLogTimes(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- safeLogTimes(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- safeLogTimes(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- safeLogTimesInPlace(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- safeLogTimesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
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.ScalarDoubleTensor
-
This is identical to log().times(y), except that it changes NaN results to 0.
- Samplable<T> - Interface in io.improbable.keanu.vertices
-
- SamplableWithManyScalars<T extends Tensor<?>> - Interface in io.improbable.keanu.vertices
-
- SamplableWithShape<T extends Tensor<?>> - 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(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
-
- SamplingModelFitting - Class in io.improbable.keanu.model
-
- SamplingModelFitting(Function<KeanuProbabilisticModel, PosteriorSamplingAlgorithm>, int) - Constructor for class io.improbable.keanu.model.SamplingModelFitting
-
- save(Statistics) - Method in interface io.improbable.keanu.algorithms.SaveStatistics
-
- 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, Map<String, String>) - Method in class io.improbable.keanu.util.io.DotSaver
-
Outputs the network to a DOT file which can be used by various graph visualizers to generate a visual representation of the graph.
- save(OutputStream, Vertex, int, boolean) - Method in class io.improbable.keanu.util.io.DotSaver
-
Outputs a subgraph around the specified vertex to a DOT file which can be used by various graph visualizers to generate a visual representation of the graph.
- save(OutputStream, Vertex, int, boolean, Map<String, String>) - Method in class io.improbable.keanu.util.io.DotSaver
-
Outputs a subgraph around the specified vertex 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
-
- SaveStatistics - Interface in io.improbable.keanu.algorithms
-
- 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() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- scalar(double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- scalar(double) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- scalar(T) - Static method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- scalar() - 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.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(double, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory
-
- SCALAR_SHAPE - Static variable in interface io.improbable.keanu.tensor.Tensor
-
- SCALAR_STRIDE - Static variable in interface io.improbable.keanu.tensor.Tensor
-
- ScalarDoubleTensor - Class in io.improbable.keanu.tensor.dbl
-
- ScalarDoubleTensor(double) - Constructor for class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- ScalarDoubleTensor(long[]) - Constructor for class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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
-
- set(long, T) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
-
- setAllInPlace(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- setAllInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- setAllInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.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.
- setValue(Boolean, long...) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setValue(Double, long...) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- setValue(Double, long...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- setValue(Double, long[]) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setValue(T, long...) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- setValue(Integer, long...) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- setValue(Integer, long...) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setValue(Integer, long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- setValue(T, 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.Nd4jDoubleTensor
-
- setWithMask(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setWithMask(IntegerTensor, Integer) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- setWithMask(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setWithMask(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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.Nd4jDoubleTensor
-
- setWithMaskInPlace(DoubleTensor, Double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setWithMaskInPlace(IntegerTensor, Integer) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- setWithMaskInPlace(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setWithMaskInPlace(IntegerTensor, Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- setWithMaskInPlace(T, N) - Method in interface io.improbable.keanu.tensor.NumberTensor
-
- 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.dbl.DoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- sigmoidInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sigmoidInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sigmoidInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.
- SimpleBooleanTensor - Class in io.improbable.keanu.tensor.bool
-
- SimpleBooleanTensor(boolean[], long[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(boolean) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(long[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(boolean, long[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- 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
-
- sin() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sin() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sin() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sin() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- SINGLE_VARIABLE_SELECTOR - Static variable in interface io.improbable.keanu.algorithms.mcmc.proposal.MHStepVariableSelector
-
- SingleVariableSelector - Class in io.improbable.keanu.algorithms.mcmc.proposal
-
- sinInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sinInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sinInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.plating.Plates
-
- size() - Method in class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator
-
- size() - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
-
- slice(int, long) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- slice(int, long) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- slice(INDArray, int, long) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- slice(int, long) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- slice(int, long) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- slice(int, long) - 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.intgr.IntegerVertex
-
- sliceAlongDimension(int, long, long) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- 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
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- split(int, long...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- split(int, long[]) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sqrt() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sqrt() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sqrt() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- SQRT_2PI - Static variable in class io.improbable.keanu.distributions.continuous.Gaussian
-
- sqrtInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sqrtInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sqrtInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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 interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- standardDeviation() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- standardDeviation() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- 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.dbl.DoubleTensor
-
- standardize() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- standardize() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- standardizeInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- standardizeInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- standardizeInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- startNewThreadForNd4j() - Static method in class io.improbable.keanu.tensor.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() - 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.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.
- 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
- 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.INDArrayShim
-
- subtract(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative
-
- sum(int...) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sum(int...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sum() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sum() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sum(int...) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sum(INDArray, int...) - Static method in class io.improbable.keanu.tensor.INDArrayShim
-
- sum(int...) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- sum(int...) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- sum() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- sum() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- sum(int...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- 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() - 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
- 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_IN_LABEL - Static variable in class io.improbable.keanu.plating.loop.Loop
-
- VALUE_OUT_LABEL - Static variable in class io.improbable.keanu.plating.loop.Loop
-
- valueArrayOf(long[], double, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory
-
- 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.
- 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.
- Variable<VALUE,STATE extends VariableState> - Interface in io.improbable.keanu.algorithms
-
- VariableReference - Interface in io.improbable.keanu.algorithms
-
A unique identifier for a
Variable
, used as a key in
Map
s
- 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
-
- vector(double[], DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory
-
- 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
-
- 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
-
- VertexValuePropagation - Class in io.improbable.keanu.algorithms.graphtraversal
-
This class enables efficient propagation of vertex updates.
- when(Boolean...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder
-
- when(Boolean...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTRawBuilder
-
- when(Boolean...) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder
-
- when(Boolean...) - 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.SimpleBooleanTensor
-
- 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.plating.Plate
-
- 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
-
- withFactory(Consumer<Plate>) - Method in class io.improbable.keanu.plating.PlateBuilder.FromCount
-
Set the Plate factory method, taking no additional data
- withFactory(BiConsumer<Plate, T>) - Method in class io.improbable.keanu.plating.PlateBuilder.FromIterator
-
Set the Plate 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.plating.loop.Loop
-
A factory method for creating a loop
- withInitialConditions(VertexDictionary) - Static method in class io.improbable.keanu.plating.loop.Loop
-
A factory method for creating a loop
- withInitialState(Vertex<?>) - Method in class io.improbable.keanu.plating.PlateBuilder
-
- withInitialState(VertexLabel, Vertex<?>) - Method in class io.improbable.keanu.plating.PlateBuilder
-
- withInitialState(VertexDictionary) - Method in class io.improbable.keanu.plating.PlateBuilder
-
- withLineEnd(String) - Method in class io.improbable.keanu.util.csv.Writer
-
- withMaxIterations(int) - Method in class io.improbable.keanu.plating.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(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
-
- 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.plating.PlateBuilder
-
- 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
-