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

A

A - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

a - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.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

asFlatBooleanArray() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

asFlatBooleanArray() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

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

B

B - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

b - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex

b - Variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex

b - Variable in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex

B_NAME - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex

backedBy(Map<VertexLabel, Vertex<?>>) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary

backedBy(Map<VertexLabel, Vertex<?>>, Map<VertexLabel, Vertex<?>>) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary

backedBy(Map<VertexLabel, Vertex<?>>) - Static method in interface io.improbable.keanu.vertices.VertexDictionary

BAD_OBSERVATION_WARNING - Static variable in exception io.improbable.keanu.vertices.NonProbabilisticObservationException

BayesianNetwork - Class in io.improbable.keanu.network

BayesianNetwork(Set<? extends Vertex>) - Constructor for class io.improbable.keanu.network.BayesianNetwork

BayesianNetwork(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.network.BayesianNetwork

Bernoulli - Class in io.improbable.keanu.distributions.discrete

BernoulliVertex - Class in io.improbable.keanu.vertices.bool.probabilistic

BernoulliVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex

One probTrue that must match a proposed tensor shape of Bernoulli.

BernoulliVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex

One to one constructor for mapping some shape of probTrue to a matching shaped Bernoulli.

BernoulliVertex(double) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex

BernoulliVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.bool.probabilistic.BernoulliVertex

Beta - Class in io.improbable.keanu.distributions.continuous

BETA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

beta1(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder

beta2(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder

BetaVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

BetaVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

One alpha or beta or both that match a proposed tensor shape of Beta.

BetaVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

One to one constructor for mapping some tensorShape of alpha and beta to a matching tensorShaped Beta.

BetaVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

BetaVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

BetaVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

BetaVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

BetaVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

BetaVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex

bfsWithFailureCondition(Collection<Vertex>, Predicate<Vertex>, Function<Vertex, Collection<Vertex>>, Consumer<Collection<Vertex>>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.BreadthFirstSearch

BinaryOpLambda<A,B,C> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary

BinaryOpLambda(Vertex<A>, Vertex<B>, BiFunction<A, B, C>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpLambda

BinaryOpVertex<A,B,C> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary

BinaryOpVertex(Vertex<A>, Vertex<B>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex

Binomial - Class in io.improbable.keanu.distributions.discrete

BinomialVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic

BinomialVertex(long[], DoubleVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(long[], double, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(long[], DoubleVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(long[], double, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(DoubleVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(double, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(DoubleVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BinomialVertex(double, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.BinomialVertex

BivariateDataStatisticsCalculator - Class in io.improbable.keanu.tensor

Calculates common statistics of a 2-dimensional data set Treats xData and yData as a series of points in the data set - their shapes must match.

BivariateDataStatisticsCalculator(DoubleTensor, DoubleTensor) - Constructor for class io.improbable.keanu.tensor.BivariateDataStatisticsCalculator

BOBYQA - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

BOBYQA() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA

BOBYQA.BOBYQABuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

BOBYQABuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder

BooleanBinaryOpLambda<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary

BooleanBinaryOpLambda(long[], Vertex<A>, Vertex<B>, BiFunction<A, B, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpLambda

BooleanBinaryOpVertex<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary

BooleanBinaryOpVertex(Vertex<A>, Vertex<B>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex

BooleanBinaryOpVertex(long[], Vertex<A>, Vertex<B>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex

BooleanConcatenationVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple

BooleanConcatenationVertex(int, BooleanVertex...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex

A vertex that can concatenate any amount of vertices along a given dimension.

BooleanConcatenationVertex(int, Vertex[]) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex

BooleanIfThenElseBuilder(BooleanVertex, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder

BooleanIfVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic

BooleanIfVertex(BooleanVertex, BooleanVertex, BooleanVertex) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex

BooleanModelResultVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators

A non-probabilistic boolean vertex whose value is extracted from an upstream model vertex.

BooleanModelResultVertex(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.BooleanModelResultVertex

BooleanProxyVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic

BooleanProxyVertex(VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex

This vertex acts as a "Proxy" to allow a BayesNet to be built up before parents are explicitly known (ie for model in model scenarios) but allows linking at a later point in time.

BooleanProxyVertex(long[], VertexLabel) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex

BooleanProxyVertex(long[], String) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex

BooleanReduceVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple

BooleanReduceVertex(long[], Collection<? extends Vertex<BooleanTensor>>, BiFunction<BooleanTensor, BooleanTensor, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanReduceVertex

BooleanReduceVertex(long[], BiFunction<BooleanTensor, BooleanTensor, BooleanTensor>, Vertex<BooleanTensor>...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanReduceVertex

BooleanReshapeVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

Returns the supplied vertex with a new shape of the same length

BooleanReshapeVertex(Vertex<BooleanTensor>, long...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanReshapeVertex

BooleanSliceVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

BooleanSliceVertex(Vertex<BooleanTensor>, int, long) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex

Takes the slice along a given dimension and index of a vertex

BooleanTakeVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

BooleanTakeVertex(Vertex<BooleanTensor>, long...) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanTakeVertex

A vertex that extracts a scalar at a given index

BooleanTensor - Interface in io.improbable.keanu.tensor.bool

BooleanUnaryOpLambda<A extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

BooleanUnaryOpLambda(long[], Vertex<A>, Function<A, BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpLambda

BooleanUnaryOpVertex<T extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

BooleanUnaryOpVertex(Vertex<T>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex

BooleanUnaryOpVertex(long[], Vertex<T>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex

BooleanVertex - Class in io.improbable.keanu.vertices.bool

BooleanVertex(long[]) - Constructor for class io.improbable.keanu.vertices.bool.BooleanVertex

booleanWhere(BooleanTensor, BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

booleanWhere(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

boundsRange(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder

BreadthFirstSearch - Class in io.improbable.keanu.algorithms.graphtraversal

BreadthFirstSearch() - Constructor for class io.improbable.keanu.algorithms.graphtraversal.BreadthFirstSearch

build() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

build() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

build() - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder

build() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder

build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder

build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder

build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder

build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder

build() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder

build() - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder

build() - Method in class io.improbable.keanu.plating.PlateBuilder.FromCountFactory

build() - Method in class io.improbable.keanu.plating.PlateBuilder.FromDataFactory

builder() - Static method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings

builder() - Static method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS

builder() - Static method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing

builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam

builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient

builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer

builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA

builder() - Static method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer

builder() - Static method in class io.improbable.keanu.Keanu.Sampling.MetropolisHastings

builder() - Static method in class io.improbable.keanu.Keanu.Sampling.NUTS

builder() - Static method in class io.improbable.keanu.Keanu.Sampling.SimulatedAnnealing

builderFor(Set<Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient

builderFor(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient

builderFor(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient

builderFor(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient

buildWithoutFitting() - Method in class io.improbable.keanu.model.regression.RegressionModelBuilder

C

C - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

calculate(double[]) - Static method in class io.improbable.keanu.algorithms.statistics.Autocorrelation

Calculates the autocorrelation of an array of doubles.

calculate() - Method in class io.improbable.keanu.vertices.bool.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

Calculates the coefficient of determination - i.e.

ColumnsVectorizedObjectParser<T> - Class in io.improbable.keanu.util.csv.pojo.bycolumn

ColumnsVectorizedObjectParser(Class<T>, Stream<List<String>>, List<String>) - Constructor for class io.improbable.keanu.util.csv.pojo.bycolumn.ColumnsVectorizedObjectParser

ColumnWriter - Class in io.improbable.keanu.util.csv

ColumnWriter(List<? extends Vertex<? extends Tensor>>, String) - Constructor for class io.improbable.keanu.util.csv.ColumnWriter

ColumnWriter(List<? extends Vertex<? extends Tensor>>) - Constructor for class io.improbable.keanu.util.csv.ColumnWriter

combine(SimpleVertexDictionary, SimpleVertexDictionary) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary

compareTo(Diff) - Method in class io.improbable.keanu.distributions.hyperparam.Diff

compareTo(VertexId) - Method in class io.improbable.keanu.vertices.VertexId

composeModel(BayesianNetwork, Map<VertexLabel, Vertex>, List<VertexLabel>) - Static method in class io.improbable.keanu.network.ModelComposition

Connects one model within an other, marking it such that it's clear this is a nested model

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

D

DBSCANContinuousPointGrouper - Class in io.improbable.keanu.network.grouping.continuouspointgroupers

DBSCANContinuousPointGrouper(double, int) - Constructor for class io.improbable.keanu.network.grouping.continuouspointgroupers.DBSCANContinuousPointGrouper

DebugTensorValidator<DATATYPE,TENSOR extends Tensor<DATATYPE>> - 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

E

EdgeDotLabel - Class in io.improbable.keanu.util.io

EdgeDotLabel() - Constructor for class io.improbable.keanu.util.io.EdgeDotLabel

ElapsedTimeComponent - Class in io.improbable.keanu.util.status

StatusBarComponent that renders the elapsed time since its creation.

ElapsedTimeComponent() - Constructor for class io.improbable.keanu.util.status.ElapsedTimeComponent

elementwiseEquals(Boolean) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

elementwiseEquals(Double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

elementwiseEquals(Double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

elementwiseEquals(T) - Method in class io.improbable.keanu.tensor.generic.GenericTensor

elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

elementwiseEquals(Integer) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

elementwiseEquals(Tensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

elementwiseEquals(Integer) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

elementwiseEquals(Tensor, Tensor) - Static method in interface io.improbable.keanu.tensor.Tensor

elementwiseEquals(Tensor) - Method in interface io.improbable.keanu.tensor.Tensor

elementwiseEquals(T) - Method in interface io.improbable.keanu.tensor.Tensor

ELSE_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex

ELSE_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex

EMPTY - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

enable() - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator

enable() - Static method in class io.improbable.keanu.util.status.StatusBar

Enables all status bars globally

epsilon(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder

eq(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim

equals(Object) - Method in class io.improbable.keanu.distributions.hyperparam.Diff

equals(Object) - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName

equals(Object) - Method in class io.improbable.keanu.network.grouping.DiscretePoint

equals(Object) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

equals(Object) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

equals(Object) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

equals(Object) - Method in class io.improbable.keanu.tensor.generic.GenericTensor

equals(Object) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

equals(Object) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

equals(Object) - Method in class io.improbable.keanu.tensor.TensorShape

equals(Object) - Method in class io.improbable.keanu.util.io.GraphEdge

equals(Object) - Method in class io.improbable.keanu.util.io.VertexDotLabel

equals(Object) - Method in class io.improbable.keanu.vertices.Vertex

equals(Object) - Method in class io.improbable.keanu.vertices.VertexLabel

EqualsVertex<TENSOR extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare

EqualsVertex(Vertex<TENSOR>, Vertex<TENSOR>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.EqualsVertex

equalsWithinEpsilon(DoubleTensor, double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

equalsWithinEpsilon(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

equalsWithinEpsilon(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

equalTo(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

equalTo(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

equalTo(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

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

Calculate the estimate of the gradient The regression coefficients (gradient and intercept) can be treated as random variables and estimated from the data.

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

Calculate the estimate of the intercept The regression coefficients (gradient and intercept) can be treated as random variables and estimated from the data.

eval(Vertex...) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation

eval(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation

eval() - Method in class io.improbable.keanu.vertices.Vertex

This causes a backwards propagating calculation of the vertex value.

exp() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

exp() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

exp() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

exp() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

expectHeader(boolean) - Method in class io.improbable.keanu.util.csv.CsvReader

Tells the reader to either treat the first line of the file as a header or as data.

expInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

expInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

expInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

Exponential - Class in io.improbable.keanu.distributions.continuous

exponentialSchedule(int, double, double) - Static method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing

ExponentialVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

ExponentialVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex

Lambda driving an arbitrarily shaped tensor of Exponential

ExponentialVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex

One to one constructor for mapping some shape of rate to matching shaped exponential.

ExponentialVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex

ExportVertexToPythonBindings - Annotation Type in io.improbable.keanu.annotation

ExpVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

ExpVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex

Calculates the exponential of an input vertex

eye(long) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

eye(long) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

eye(int) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

eye(long) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

eye(long, DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory

F

FALSE - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex

falses(long...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor

findLongestTensor(List<? extends Vertex<? extends Tensor>>) - Static method in class io.improbable.keanu.util.csv.WriteCsv

findModesBySimulatedAnnealing(BayesianNetwork, int, int, KeanuRandom) - Static method in class io.improbable.keanu.algorithms.mcmc.initialconditions.MultiModeDiscovery

finish() - Method in class io.improbable.keanu.util.status.StatusBar

Marks the end of use of a StatusBar.

fit(ModelGraph) - Method in class io.improbable.keanu.model.MAPModelFitter

Uses the Maximum A Posteriori algorithm to fit the model graph to the input and output data.

fit(ModelGraph) - Method in class io.improbable.keanu.model.MaximumLikelihoodModelFitter

Uses the maximum likelihood algorithm to fit the ModelGraph to the input and output data.

fit(ModelGraph) - Method in interface io.improbable.keanu.model.ModelFitter

fit() - Method in class io.improbable.keanu.model.regression.RegressionModel

fit(ModelGraph) - Method in class io.improbable.keanu.model.SamplingModelFitter

Uses a posterior sampling algorithm (e.g.

FitnessFunction - Interface in io.improbable.keanu.algorithms.variational.optimizer

FitnessFunctionGradient - Interface in io.improbable.keanu.algorithms.variational.optimizer

floor() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

floor() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

floor() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

floor() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

floorInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

floorInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

floorInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

FloorVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

FloorVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.FloorVertex

Applies the Floor operator to a vertex.

formatDuration(Duration) - Method in class io.improbable.keanu.util.status.TimeComponent

forwardModeAutoDiff(V, V...) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator

forwardModeAutoDiff(V, Collection<V>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in interface io.improbable.keanu.vertices.dbl.Differentiable

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex

forwardModeAutoDifferentiation(Map<Vertex, PartialDerivative>) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex

forwardModeAutoDiffLambda - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

from(List<NetworkSample>) - Static method in class io.improbable.keanu.algorithms.NetworkSamples

from(List<Vertex<? extends Tensor<Boolean>>>, Function<Vertex<? extends Tensor<Boolean>>, Boolean>) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTCondition

FromCount(int, VertexDictionary) - Constructor for class io.improbable.keanu.plating.PlateBuilder.FromCount

fromFile(File) - Static method in class io.improbable.keanu.util.csv.ReadCsv

fromFile(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv

fromFile(Path) - Static method in class io.improbable.keanu.util.csv.ReadCsv

fromIterator(Iterator<T>) - Method in class io.improbable.keanu.plating.PlateBuilder

Build an unspecified number of plates with data from an iterator

fromIterator(Iterator<T>, int) - Method in class io.improbable.keanu.plating.PlateBuilder

Build a number of plates with data from an iterator

fromResources(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv

fromString(String) - Static method in class io.improbable.keanu.util.csv.ReadCsv

FULL_VARIABLE_SELECTOR - Static variable in interface io.improbable.keanu.algorithms.mcmc.proposal.MHStepVariableSelector

FullVariableSelector - Class in io.improbable.keanu.algorithms.mcmc.proposal

G

Gamma - Class in io.improbable.keanu.distributions.continuous

GammaVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

GammaVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex

Theta or k or both driving an arbitrarily shaped tensor of Gamma

GammaVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex

One to one constructor for mapping some shape of theta and k to matching shaped gamma.

GammaVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex

GammaVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex

GammaVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex

Gaussian - Class in io.improbable.keanu.distributions.continuous

GaussianKDE - Class in io.improbable.keanu.algorithms.variational

GaussianKDE() - Constructor for class io.improbable.keanu.algorithms.variational.GaussianKDE

GaussianProposalDistribution - Class in io.improbable.keanu.algorithms.mcmc.proposal

GaussianProposalDistribution(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

H

HalfCauchyVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

HalfCauchyVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex

One scale that matches a proposed tensor shape of HalfCauchy (Cauchy with location = 0 and non-negative x)

HalfCauchyVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex

HalfCauchyVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex

HalfCauchyVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfCauchyVertex

HalfGaussianVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

HalfGaussianVertex(long[], DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex

One sigma that matches a proposed tensor shape of HalfGaussian (a Gaussian with mu = 0 and non-negative x).

HalfGaussianVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex

HalfGaussianVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex

HalfGaussianVertex(long[], double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.HalfGaussianVertex

handle(TENSOR, BooleanTensor) - Method in class io.improbable.keanu.tensor.validate.policy.ChangeValueTo

handle(TENSOR, BooleanTensor) - Method in interface io.improbable.keanu.tensor.validate.policy.TensorValidationPolicy

handle(TENSOR, BooleanTensor) - Method in class io.improbable.keanu.tensor.validate.policy.ThrowValueException

hasBound(VariableReference) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds

hasCalculated() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex

hasCalculated() - Method in interface io.improbable.keanu.vertices.model.ModelVertex

hasConverged(DoubleTensor[], DoubleTensor[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.AbsoluteConvergenceChecker

hasConverged(DoubleTensor[], DoubleTensor[]) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker

hasConverged(DoubleTensor[], DoubleTensor[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.RelativeConvergenceChecker

hashCode() - Method in class io.improbable.keanu.distributions.hyperparam.Diff

hashCode() - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName

hashCode() - Method in class io.improbable.keanu.network.grouping.DiscretePoint

hashCode() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

hashCode() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

hashCode() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

hashCode() - Method in class io.improbable.keanu.tensor.generic.GenericTensor

hashCode() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

hashCode() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

hashCode() - Method in class io.improbable.keanu.tensor.TensorShape

hashCode() - Method in class io.improbable.keanu.util.io.GraphEdge

hashCode() - Method in class io.improbable.keanu.util.io.VertexDotLabel

hashCode() - Method in class io.improbable.keanu.vertices.Vertex

hashCode() - Method in class io.improbable.keanu.vertices.VertexLabel

hasParent() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanProxyVertex

hasParent() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex

hasParent() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerProxyVertex

hasParent() - Method in interface io.improbable.keanu.vertices.ProxyVertex

hasSameShapeAs(Tensor) - Method in interface io.improbable.keanu.tensor.Tensor

hasSameShapeAs(long[]) - Method in interface io.improbable.keanu.tensor.Tensor

HasShape - Interface in io.improbable.keanu.algorithms.variational.optimizer

hasValue() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex

hasValue() - Method in class io.improbable.keanu.vertices.Vertex

I

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 - package io.improbable.keanu.util

io.improbable.keanu.util.csv - package io.improbable.keanu.util.csv

io.improbable.keanu.util.csv.pojo - package io.improbable.keanu.util.csv.pojo

io.improbable.keanu.util.csv.pojo.bycolumn - package io.improbable.keanu.util.csv.pojo.bycolumn

io.improbable.keanu.util.csv.pojo.byrow - package io.improbable.keanu.util.csv.pojo.byrow

io.improbable.keanu.util.io - package io.improbable.keanu.util.io

io.improbable.keanu.util.status - package io.improbable.keanu.util.status

io.improbable.keanu.vertices - package io.improbable.keanu.vertices

io.improbable.keanu.vertices.bool - package io.improbable.keanu.vertices.bool

io.improbable.keanu.vertices.bool.nonprobabilistic - package io.improbable.keanu.vertices.bool.nonprobabilistic

io.improbable.keanu.vertices.bool.nonprobabilistic.operators - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators

io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary

io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare

io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple

io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary - package io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

io.improbable.keanu.vertices.bool.probabilistic - package io.improbable.keanu.vertices.bool.probabilistic

io.improbable.keanu.vertices.dbl - package io.improbable.keanu.vertices.dbl

io.improbable.keanu.vertices.dbl.nonprobabilistic - package io.improbable.keanu.vertices.dbl.nonprobabilistic

io.improbable.keanu.vertices.dbl.nonprobabilistic.diff - package io.improbable.keanu.vertices.dbl.nonprobabilistic.diff

io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary

io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple - package io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple

io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.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

J

JsonLoader - Class in io.improbable.keanu.util.io

A class for parsing a network from JSON format to a BayesianNetwork object.

JsonLoader() - Constructor for class io.improbable.keanu.util.io.JsonLoader

JsonSaver - Class in io.improbable.keanu.util.io

A class for outputting a network to a JSON file.

JsonSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.JsonSaver

Sets up a new json saver for the given network.

K

K - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

KDEVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

KDEVertex(DoubleTensor, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

KDEVertex(DoubleTensor) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

KDEVertex(List<Double>) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

KDEVertex(List<Double>, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

Keanu - Class in io.improbable.keanu

The entry point for creating PosteriorSamplingAlgorithms such as Keanu.Sampling.MetropolisHastings and Keanu.Sampling.NUTS

Keanu() - Constructor for class io.improbable.keanu.Keanu

Keanu.Optimizer - Class in io.improbable.keanu

Keanu.Optimizer.Gradient - Class in io.improbable.keanu

Keanu.Optimizer.NonGradient - Class in io.improbable.keanu

Keanu.Sampling - Class in io.improbable.keanu

Keanu.Sampling.MCMC - Class in io.improbable.keanu

Keanu.Sampling.MetropolisHastings - Class in io.improbable.keanu

Keanu.Sampling.NUTS - Class in io.improbable.keanu

Keanu.Sampling.SimulatedAnnealing - Class in io.improbable.keanu

KeanuAnimationComponent - Class in io.improbable.keanu.util.status

StatusBarComponent that renders the Keanu animation.

KeanuAnimationComponent() - Constructor for class io.improbable.keanu.util.status.KeanuAnimationComponent

KeanuProbabilisticModel - Class in io.improbable.keanu.network

An implementation of ProbabilisticModel that is backed by a BayesianNetwork

KeanuProbabilisticModel(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModel

KeanuProbabilisticModel(BayesianNetwork) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModel

KeanuProbabilisticModelWithGradient - Class in io.improbable.keanu.network

An implementation of ProbabilisticModelWithGradient that is backed by a BayesianNetwork

KeanuProbabilisticModelWithGradient(BayesianNetwork) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient

KeanuProbabilisticModelWithGradient(Set<Vertex>) - Constructor for class io.improbable.keanu.network.KeanuProbabilisticModelWithGradient

KeanuRandom - Class in io.improbable.keanu

KeanuRandom() - Constructor for class io.improbable.keanu.KeanuRandom

KeanuRandom(long) - Constructor for class io.improbable.keanu.KeanuRandom

keepOnlyProbabilisticVertices(Iterable<? extends Vertex>) - Static method in interface io.improbable.keanu.vertices.Probabilistic

keys() - Method in class io.improbable.keanu.algorithms.Statistics

KLDivergence - Class in io.improbable.keanu.algorithms.variational

KLDivergence() - Constructor for class io.improbable.keanu.algorithms.variational.KLDivergence

L

L - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

LAMBDA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

lambda(long[], Function<DoubleTensor, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

lambda(Function<DoubleTensor, DoubleTensor>, Function<Map<Vertex, PartialDerivative>, PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

lambda(long[], Function<IntegerTensor, IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

lambda(Function<IntegerTensor, IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

LambdaModelVertex - Class in io.improbable.keanu.vertices.model

LambdaModelVertex(Map<VertexLabel, Vertex<? extends Tensor>>, Consumer<Map<VertexLabel, Vertex<? extends Tensor>>>, Supplier<Map<VertexLabel, Vertex<? extends Tensor>>>) - Constructor for class io.improbable.keanu.vertices.model.LambdaModelVertex

A vertex whose operation is the execution of a lambda.

LambdaSection - Class in io.improbable.keanu.network

A Lambda Section is defined as a given vertex and all the vertices that it affects (downstream) OR all of the vertices that affects it (upstream), stopping at observed or probabilistic vertices.

LambdaSectionSnapshot - Class in io.improbable.keanu.network

A snapshot of LambdaSections for a chosen set of Variables.

LambdaSectionSnapshot() - Constructor for class io.improbable.keanu.network.LambdaSectionSnapshot

Laplace - Class in io.improbable.keanu.distributions.continuous

LaplaceVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

LaplaceVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

One mu or beta or both that match a proposed tensor shape of Laplace

LaplaceVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LaplaceVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LaplaceVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LaplaceVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

One to one constructor for mapping some shape of mu and sigma to a matching shaped Laplace.

LaplaceVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LaplaceVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LaplaceVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex

LatentIncrementSort - Class in io.improbable.keanu.algorithms.particlefiltering

lazyEval(Vertex...) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation

lazyEval(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.VertexValuePropagation

lazyEval() - Method in class io.improbable.keanu.vertices.Vertex

This is similar to eval() except it only propagates as far up the graph as required until there are values present to operate on.

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

M

mapDependencies(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.TopologicalSort

MAPModelFitter - Class in io.improbable.keanu.model

MAPModelFitter() - Constructor for class io.improbable.keanu.model.MAPModelFitter

mapping(VertexLabel, VertexLabel) - Method in class io.improbable.keanu.plating.loop.LoopBuilder

An optional method to add custom mappings

MarkovBlanket - Class in io.improbable.keanu.algorithms.graphtraversal

matrixDeterminant() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

MatrixDeterminantVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

A vertex that takes on the value of the matrixDeterminant of the value of its input matrix

MatrixDeterminantVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex

matrixInverse() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

matrixInverse() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

matrixInverse() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

matrixInverse() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

MatrixInverseVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

MatrixInverseVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex

MatrixMultiplicationVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary

MatrixMultiplicationVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex

Matrix multiplies one vertex by another.

matrixMultiply(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

matrixMultiply(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

matrixMultiply(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

matrixMultiply(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

matrixMultiply(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

matrixMultiply(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

matrixMultiply(T) - Method in interface io.improbable.keanu.tensor.NumberTensor

matrixMultiply(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

matrixMultiplyAlongOfDimensions(PartialDerivative, DoubleTensor, boolean) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

matrixMultiplyAlongWrtDimensions(PartialDerivative, DoubleTensor, boolean) - Static method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

max(DoubleTensor, DoubleTensor) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

max() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

max() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

max() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

max(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim

max(IntegerTensor, IntegerTensor) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

max() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

max() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

max() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

max(DoubleVertex, DoubleVertex) - Static method in class io.improbable.keanu.vertices.dbl.DoubleVertex

max(IntegerVertex, IntegerVertex) - Static method in class io.improbable.keanu.vertices.intgr.IntegerVertex

maxAPosteriori() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer

maxAPosteriori() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer

maxAPosteriori() - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

This will use MAP estimation to optimize the values of latent vertices such that the probability of the whole Bayesian network is maximised.

maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam.AdamBuilder

maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder

maxEvaluations(int) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder

MaximumLikelihoodModelFitter - Class in io.improbable.keanu.model

MaximumLikelihoodModelFitter() - Constructor for class io.improbable.keanu.model.MaximumLikelihoodModelFitter

maxInPlace(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

maxInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

maxInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

maxInPlace(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

maxInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

maxInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

maxLikelihood() - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer

maxLikelihood() - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer

maxLikelihood() - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

This method will use Maximum Likelihood estimation to optimize the values of latent vertices such that the probability of the observed vertices is maximised.

maxTreeHeight(int) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

MaxVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary

MaxVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MaxVertex

Finds the maximum between two vertices

MCMC() - Constructor for class io.improbable.keanu.Keanu.Sampling.MCMC

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

Calculate the MSE (mean squared error) which is an unbiased estimate of the variance of Y

MetropolisHastings - Class in io.improbable.keanu.algorithms.mcmc

Metropolis Hastings is a Markov Chain Monte Carlo method for obtaining samples from a probability distribution

MetropolisHastings() - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastings

MetropolisHastings() - Constructor for class io.improbable.keanu.Keanu.Sampling.MetropolisHastings

MetropolisHastings.MetropolisHastingsBuilder - Class in io.improbable.keanu.algorithms.mcmc

MetropolisHastingsBuilder() - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

MetropolisHastingsSampler - Class in io.improbable.keanu.algorithms.mcmc

MetropolisHastingsSampler(List<? extends Variable>, List<? extends Variable>, MetropolisHastingsStep, MHStepVariableSelector, double) - Constructor for class io.improbable.keanu.algorithms.mcmc.MetropolisHastingsSampler

MetropolisHastingsStep - Class in io.improbable.keanu.algorithms.mcmc

MHStepVariableSelector - Interface in io.improbable.keanu.algorithms.mcmc.proposal

min(DoubleTensor, DoubleTensor) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

min() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

min() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

min() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

min(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim

min(IntegerTensor, IntegerTensor) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

min() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

min() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

min() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

min(DoubleVertex, DoubleVertex) - Static method in class io.improbable.keanu.vertices.dbl.DoubleVertex

min(IntegerVertex, IntegerVertex) - Static method in class io.improbable.keanu.vertices.intgr.IntegerVertex

minInPlace(DoubleTensor) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

minInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

minInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

minInPlace(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

minInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

minInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

minus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

minus(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

minus(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

minus(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

minus(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

minus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

minus(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

minus(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

minus(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

minus(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

minus(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

minus(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

minus(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

minus(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

minus(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

minus(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

MINUS_ONE_SCALAR - Static variable in interface io.improbable.keanu.tensor.dbl.DoubleTensor

minusInPlace(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

minusInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

minusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

minusInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

minusInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

minusInPlace(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

minusInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

minusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

minusInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

minusInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

minusInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor

MinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary

MinVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MinVertex

Finds the minimum between two vertices

MIRLoader - Class in io.improbable.keanu.util.io

MIRLoader() - Constructor for class io.improbable.keanu.util.io.MIRLoader

MIRSaver - Class in io.improbable.keanu.util.io

MIRSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.MIRSaver

MIRSaver(BayesianNetwork, String) - Constructor for class io.improbable.keanu.util.io.MIRSaver

ModelComposition - Class in io.improbable.keanu.network

ModelFitter - Interface in io.improbable.keanu.model

ModelGraph<INPUT,OUTPUT> - Interface in io.improbable.keanu.model

ModelResult<T> - Class in io.improbable.keanu.vertices.model

ModelResult(ModelVertex, VertexLabel) - Constructor for class io.improbable.keanu.vertices.model.ModelResult

ModelResultProvider<T> - Interface in io.improbable.keanu.vertices.model

ModelScoring - Class in io.improbable.keanu.model

ModelScoring() - Constructor for class io.improbable.keanu.model.ModelScoring

ModelVertex<T> - Interface in io.improbable.keanu.vertices.model

MU - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

MU_NAME - Static variable in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex

muli(INDArray, INDArray) - Static method in class io.improbable.keanu.tensor.INDArrayShim

MultiModeDiscovery - Class in io.improbable.keanu.algorithms.mcmc.initialconditions

Multinomial - Class in io.improbable.keanu.distributions.discrete

MultinomialVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic

MultinomialVertex(long[], IntegerVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex

MultinomialVertex(IntegerVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex

MultinomialVertex(int, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.MultinomialVertex

MultiplexerVertex<T> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic

MultiplexerVertex(IntegerVertex, Vertex<T>...) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex

MultiplicationVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary

MultiplicationVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex

Multiplies one vertex by another

multiply(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

multiply(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

multiply(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

multiply(Vertex<IntegerTensor>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

multiply(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

multiplyAlongOfDimensions(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

This method assumes the partial 'of' rank is the same as the multiplier.

multiplyAlongOfDimensions(DoubleTensor, int) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

multiplyAlongWrtDimensions(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

multiplyBy(double) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

MultivariateGaussian - Class in io.improbable.keanu.distributions.continuous

MultivariateGaussianVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

MultivariateGaussianVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex

Multivariate gaussian distribution.

MultivariateGaussianVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex

Matches a mu and covariance of some shape to a Multivariate Gaussian

MultivariateGaussianVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex

Matches a mu to a Multivariate Gaussian.

MultivariateGaussianVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.MultivariateGaussianVertex

N

NAN_CATCHER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator

NAN_FIXER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator

NaNFixingTensorValidator - Class in io.improbable.keanu.tensor.validate

NaNFixingTensorValidator(double) - Constructor for class io.improbable.keanu.tensor.validate.NaNFixingTensorValidator

Nd4jDoubleTensor - Class in io.improbable.keanu.tensor.dbl

Class for representing n-dimensional arrays of doubles.

Nd4jDoubleTensor(double[], long[]) - Constructor for class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

Nd4jDoubleTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

Nd4jIntegerTensor - Class in io.improbable.keanu.tensor.intgr

Class for representing n-dimensional arrays of integers.

Nd4jIntegerTensor(int[], long[]) - Constructor for class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

Nd4jIntegerTensor(INDArray) - Constructor for class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

NetworkLoader - Interface in io.improbable.keanu.network

NetworkSample - Class in io.improbable.keanu.algorithms

A network sample contains the state of the network (variable values) and the logOfMasterP at a given point in time.

NetworkSample() - Constructor for class io.improbable.keanu.algorithms.NetworkSample

NetworkSamples - Class in io.improbable.keanu.algorithms

An immutable collection of network samples.

NetworkSamples(Map<VariableReference, ? extends List>, List<Double>, int) - Constructor for class io.improbable.keanu.algorithms.NetworkSamples

NetworkSamplesGenerator - Class in io.improbable.keanu.algorithms.mcmc

NetworkSamplesGenerator(SamplingAlgorithm, Supplier<StatusBar>) - Constructor for class io.improbable.keanu.algorithms.mcmc.NetworkSamplesGenerator

NetworkSaver - Interface in io.improbable.keanu.network

NetworkSnapshot - Class in io.improbable.keanu.network

Saves the state (value and observed) of a specified collection of variables.

NetworkState - Interface in io.improbable.keanu.network

Depending on how a NetworkState is being used, it may be significantly more efficient to use one underlying data structure vs another.

NetworkStateGrouper - Class in io.improbable.keanu.network.grouping

This class has the ability to group NetworkStates that are similar.

NetworkStateGrouper(ContinuousPointGrouper) - Constructor for class io.improbable.keanu.network.grouping.NetworkStateGrouper

nextBoolean() - Method in class io.improbable.keanu.KeanuRandom

nextConstant(double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextConstant(double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextConstant(double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextDouble(long[]) - Method in class io.improbable.keanu.KeanuRandom

nextDouble() - Method in class io.improbable.keanu.KeanuRandom

nextDouble(double, double) - Method in class io.improbable.keanu.KeanuRandom

nextDouble(double, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextDouble(double, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextDouble(double, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextDoubleNonZero() - Method in class io.improbable.keanu.KeanuRandom

nextGamma(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom

nextGaussian(long[]) - Method in class io.improbable.keanu.KeanuRandom

nextGaussian(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom

nextGaussian() - Method in class io.improbable.keanu.KeanuRandom

nextGaussian(double, double) - Method in class io.improbable.keanu.KeanuRandom

nextGaussian(double, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextGaussian(DoubleVertex, double) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextGaussian(DoubleVertex, DoubleVertex) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextGaussian(double, DoubleVertex) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory

nextGaussian(ArithmeticDouble, ArithmeticDouble) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextGaussian(double, ArithmeticDouble) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextGaussian(ArithmeticDouble, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextGaussian(double, double) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory

nextGaussian(T, T) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextGaussian(double, T) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextGaussian(T, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextGaussian(double, double) - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextGaussian() - Method in interface io.improbable.keanu.randomfactory.RandomFactory

nextInt(long[]) - Method in class io.improbable.keanu.KeanuRandom

nextInt(int) - Method in class io.improbable.keanu.KeanuRandom

nextLaplace(long[], DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom

nextPoisson(long[], DoubleTensor) - Method in class io.improbable.keanu.KeanuRandom

NonGradient() - Constructor for class io.improbable.keanu.Keanu.Optimizer.NonGradient

NonGradientOptimizationAlgorithm - Interface in io.improbable.keanu.algorithms.variational.optimizer.nongradient

NonGradientOptimizer - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

This class can be used to construct a BOBYQA non-gradient optimizer.

NonGradientOptimizer() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer

NonGradientOptimizer.NonGradientOptimizerBuilder - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

NonGradientOptimizerBuilder() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder

NonProbabilistic<T> - Interface in io.improbable.keanu.vertices

NonProbabilisticObservationException - Exception in io.improbable.keanu.vertices

NonProbabilisticObservationException() - Constructor for exception io.improbable.keanu.vertices.NonProbabilisticObservationException

NonSaveableVertex - Interface in io.improbable.keanu.vertices

not() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

not() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

not() - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

not(Vertex<BooleanTensor>) - Static method in class io.improbable.keanu.vertices.bool.BooleanVertex

NotEqualsVertex<A extends Tensor,B extends Tensor> - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare

NotEqualsVertex(Vertex<A>, Vertex<B>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.NotEqualsVertex

notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

notEqualTo(Vertex<T>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

notifyProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier

notifyProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier

notInPlace() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

notInPlace() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

notNaN() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

notNaN() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

notNaN() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

NotVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary

NotVertex(Vertex<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.NotVertex

nullState() - Static method in class io.improbable.keanu.vertices.VertexState

NumberTensor<N extends java.lang.Number,T extends NumberTensor<N,T>> - Interface in io.improbable.keanu.tensor

numDimensions(long[]) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

NumericalEqualsVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators

Returns true if a vertex value is equal to another vertex value within an epsilon.

NumericalEqualsVertex(Vertex<? extends NumberTensor>, Vertex<? extends NumberTensor>, Vertex<? extends NumberTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex

NUTS - Class in io.improbable.keanu.algorithms.mcmc.nuts

Algorithm 6: "No-U-Turn Sampler with Dual Averaging".

NUTS() - Constructor for class io.improbable.keanu.algorithms.mcmc.nuts.NUTS

NUTS() - Constructor for class io.improbable.keanu.Keanu.Sampling.NUTS

NUTS.Metrics - Enum in io.improbable.keanu.algorithms.mcmc.nuts

NUTS.NUTSBuilder - Class in io.improbable.keanu.algorithms.mcmc.nuts

O

Observable<T> - Interface in io.improbable.keanu.vertices

observe(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

observe(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

observe(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

observe(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

observe(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

observe(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

observe(T) - Method in interface io.improbable.keanu.vertices.Observable

observe(T) - Method in class io.improbable.keanu.vertices.Vertex

This marks the vertex's value as being observed and unchangeable.

observeOwnValue() - Method in class io.improbable.keanu.vertices.Vertex

Cause this vertex to observe its own value, for example when generating test data

observeValues(INPUT, OUTPUT) - Method in interface io.improbable.keanu.model.ModelGraph

observeValues(DoubleTensor, OUTPUT) - Method in class io.improbable.keanu.model.regression.LinearRegressionGraph

of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient

Creates a GradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient

Creates a Bayesian network from the given vertices and uses this to create a GradientOptimizer.

of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient

Creates a BOBYQA NonGradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient

Creates a Bayesian network from the given vertices and uses this to create a BOBYQA NonGradientOptimizer.

of(Collection<? extends Vertex>) - Method in class io.improbable.keanu.Keanu.Optimizer

Creates a Bayesian network from the given vertices and uses this to create an Optimizer.

of(BayesianNetwork) - Method in class io.improbable.keanu.Keanu.Optimizer

Creates an Optimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

of(Boolean) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(boolean) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(boolean...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(boolean[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(BooleanTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(Integer) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(int) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(int...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(int[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(IntegerTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(Double) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(double) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(double...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(double[], long...) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(DoubleTensor) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(GENERIC) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(GENERIC[]) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(TENSOR) - Static method in interface io.improbable.keanu.vertices.ConstantVertex

of(Vertex) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo

of(VertexId) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo

of(Vertex<? extends Tensor<Boolean>>...) - Static method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable

of(Map<CATEGORY, Double>) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex

of(DirichletVertex, List<CATEGORY>) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex

of(DirichletVertex) - Static method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.CategoricalVertex

of(Vertex<?>...) - Static method in class io.improbable.keanu.vertices.SimpleVertexDictionary

of(Vertex...) - Static method in interface io.improbable.keanu.vertices.VertexDictionary

ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer.Gradient

Creates a Bayesian network from the graph connected to the given vertex and uses this to create a GradientOptimizer.

ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer.NonGradient

Creates a Bayesian network from the graph connected to the given vertex and uses this to create a BOBYQA NonGradientOptimizer.

ofConnectedGraph(Vertex<?>) - Method in class io.improbable.keanu.Keanu.Optimizer

Creates a Bayesian network from the graph connected to the given vertex and uses this to create an Optimizer.

ofGraph(Collection<? extends Vertex>) - Static method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter

ofVertexInGraph(Vertex) - Static method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter

Creates a ParticleFilterBuilder by retrieving connected graph from the vertex

ONE_BY_ONE_SHAPE - Static variable in interface io.improbable.keanu.tensor.Tensor

ONE_SCALAR - Static variable in interface io.improbable.keanu.tensor.dbl.DoubleTensor

ONE_SCALAR - Static variable in interface io.improbable.keanu.tensor.intgr.IntegerTensor

ones(long...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

ones(long...) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

ones(long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

ones(long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

ones(long[], DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory

onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker

onProposalCreated(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalListener

onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection

onProposalCreated(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection

onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.proposal.AcceptanceRateTracker

onProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.GaussianProposalDistribution

onProposalRejected() - Method in class io.improbable.keanu.algorithms.mcmc.proposal.PriorProposalDistribution

onProposalRejected() - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalDistribution

onProposalRejected(Proposal) - Method in interface io.improbable.keanu.algorithms.mcmc.proposal.ProposalListener

onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection

onProposalRejected(Proposal) - Method in class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection

op(BooleanTensor, BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex

op(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.AndBinaryVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpLambda

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BooleanBinaryOpVertex

op(TENSOR, TENSOR) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.EqualsVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanOrEqualVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.GreaterThanVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanOrEqualVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.LessThanVertex

op(A, B) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.compare.NotEqualsVertex

op(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.OrBinaryVertex

op(BooleanTensor...) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BooleanConcatenationVertex

op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanReshapeVertex

op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanSliceVertex

op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanTakeVertex

op(A) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpLambda

op(T) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BooleanUnaryOpVertex

op(BooleanTensor) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.NotVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex

op - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanMaskVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleGreaterThanOrEqualToMaskVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanMaskVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleLessThanOrEqualToMaskVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex

op(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex

op(DoubleTensor...) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.AbsVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CeilVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.FloorVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.RoundVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex

op(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex

op(A, B) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpLambda

op(A, B) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex

op(Tensor<T>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericSliceVertex

op(Tensor<T>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.GenericTakeVertex

op(IN) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpLambda

op(IN) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerAdditionVertex

op - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDifferenceVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerDivisionVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMaxVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMinVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerMultiplicationVertex

op(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerPowerVertex

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerAbsVertex

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerReshapeVertex

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSliceVertex

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerSumVertex

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerTakeVertex

op - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda

op(IntegerTensor) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex

optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.Adam

optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient

optimize(List<? extends Variable>, FitnessFunction, FitnessFunctionGradient) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizationAlgorithm

optimize(List<? extends Variable>, FitnessFunction) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA

optimize(List<? extends Variable>, FitnessFunction) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizationAlgorithm

OptimizedResult - Class in io.improbable.keanu.algorithms.variational.optimizer

OptimizedResult() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.OptimizedResult

Optimizer - Interface in io.improbable.keanu.algorithms.variational.optimizer

Optimizer() - Constructor for class io.improbable.keanu.Keanu.Optimizer

optimizerBounds(OptimizerBounds) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.BOBYQA.BOBYQABuilder

OptimizerBounds - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

OptimizerBounds() - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.OptimizerBounds

or(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

or(boolean) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

or(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

or(Vertex<BooleanTensor>...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

or(boolean) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

or(BooleanVertex) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

OrBinaryVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary

OrBinaryVertex(Vertex<BooleanTensor>, Vertex<BooleanTensor>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.OrBinaryVertex

orDefault(Vertex<OUT>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder

orDefault(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder

orDefault(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder

orDefault(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder

orDefault(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder

orElse(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder

orElse(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.BooleanIfThenElseBuilder

orElse(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.DoubleIfThenElseBuilder

orElse(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.DoubleIfThenElseBuilder

orElse(Vertex<? extends Tensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenElseBuilder

orElse(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IntegerIfThenElseBuilder

orElse(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IntegerIfThenElseBuilder

orInPlace(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

orInPlace(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

OrMultipleVertex - Class in io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple

OrMultipleVertex(Collection<? extends Vertex<BooleanTensor>>) - Constructor for class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.OrMultipleVertex

OutputVertices() - Constructor for class io.improbable.keanu.model.regression.LinearRegressionGraph.OutputVertices

P

ParameterName - Class in io.improbable.keanu.distributions.hyperparam

ParameterName(String) - Constructor for class io.improbable.keanu.distributions.hyperparam.ParameterName

Pareto - Class in io.improbable.keanu.distributions.continuous

ParetoVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

ParetoVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

Provides a Vertex implementing the Pareto Distribution.

ParetoVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

ParetoVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.ParetoVertex

PartialDerivative - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff

PartialDerivative(DoubleTensor) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivative

PartialsOf - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff

PartialsOf() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsOf

PartialsWithRespectTo - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.diff

PartialsWithRespectTo() - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialsWithRespectTo

Particle - Class in io.improbable.keanu.algorithms.particlefiltering

Represents a Particle used in a Particle Filter.

Particle() - Constructor for class io.improbable.keanu.algorithms.particlefiltering.Particle

ParticleFilter - Class in io.improbable.keanu.algorithms.particlefiltering

This class allows you to create particle filters to find likely states of a network (i.e.

ParticleFilter(Collection<? extends Vertex>, int, int, double, KeanuRandom) - Constructor for class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter

ParticleFilterBuilder - Class in io.improbable.keanu.algorithms.particlefiltering

ParticleFilterBuilder(Collection<? extends Vertex>) - Constructor for class io.improbable.keanu.algorithms.particlefiltering.ParticleFilterBuilder

pdf(DoubleTensor) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

PercentageComponent - Class in io.improbable.keanu.util.status

StatusBarComponent that renders a percentage bar which can be updated.

PercentageComponent() - Constructor for class io.improbable.keanu.util.status.PercentageComponent

permute(int...) - Method in 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 Variables that can return a value of log-probability for a given set of input values.

probabilisticModel(ProbabilisticModelWithGradient) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer.GradientOptimizerBuilder

probabilisticModel(ProbabilisticModel) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer.NonGradientOptimizerBuilder

ProbabilisticModelWithGradient - Interface in io.improbable.keanu.algorithms

A ProbabilisticModel that can also return the gradient of its log-probability: required by algorithms such as Keanu.Sampling.NUTS and GradientOptimizer.

probability(Function<NetworkState, Boolean>) - Method in class io.improbable.keanu.algorithms.NetworkSamples

probability(Function<T, Boolean>) - Method in class io.improbable.keanu.algorithms.Samples

ProbabilityCalculator - Class in io.improbable.keanu.vertices

ProbabilityFitness - Enum in io.improbable.keanu.algorithms.variational.optimizer

ProbabilityFitnessFunction - Class in io.improbable.keanu.algorithms.variational.optimizer.nongradient

ProbabilityFitnessFunction(ProbabilisticModel) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.nongradient.ProbabilityFitnessFunction

ProbabilityFitnessFunctionGradient - Class in io.improbable.keanu.algorithms.variational.optimizer.gradient

ProbabilityFitnessFunctionGradient(ProbabilisticModelWithGradient) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.gradient.ProbabilityFitnessFunctionGradient

probeForNonZeroProbability(int) - Method in class io.improbable.keanu.network.BayesianNetwork

probeForNonZeroProbability(int, KeanuRandom) - Method in class io.improbable.keanu.network.BayesianNetwork

Attempt to find a non-zero master probability by naively sampling vertices in order of data dependency

product() - Method in interface io.improbable.keanu.tensor.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 ProposalListeners and notifies them when a proposal is created or rejected.

ProposalNotifier(List<ProposalListener>) - Constructor for class io.improbable.keanu.algorithms.mcmc.proposal.ProposalNotifier

ProposalRejectionStrategy - Interface in io.improbable.keanu.algorithms.mcmc

What to do when a Proposal is rejected by MetropolisHastings.

ProtobufLoader - Class in io.improbable.keanu.util.io

ProtobufLoader() - Constructor for class io.improbable.keanu.util.io.ProtobufLoader

ProtobufSaver - Class in io.improbable.keanu.util.io

ProtobufSaver(BayesianNetwork) - Constructor for class io.improbable.keanu.util.io.ProtobufSaver

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

Py4jByteArrayConverter - Class in io.improbable.keanu.util

Py4jByteArrayConverter() - Constructor for class io.improbable.keanu.util.Py4jByteArrayConverter

Q

QDistribution - Interface in io.improbable.keanu.algorithms.variational

QDistribution represents Q in D(P|Q) = sum_i P(i) log(P(i)/Q(i)), which is the KLDivergence (Kullback Leibler divergence) from probability distributions P to Q.

R

random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

random(KeanuRandom) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder

RandomDoubleFactory - Class in io.improbable.keanu.randomfactory

RandomDoubleFactory() - Constructor for class io.improbable.keanu.randomfactory.RandomDoubleFactory

RandomFactory<T> - Interface in io.improbable.keanu.randomfactory

ReadCsv - Class in io.improbable.keanu.util.csv

This class provides static helper functions for loading csv data from various locations.

readLines() - Method in class io.improbable.keanu.util.csv.CsvReader

This will read the entire csv file and return it as a list.

reciprocal() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

reciprocal() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

reciprocal() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

reciprocalInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

reciprocalInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

reciprocalInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

ReduceVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple

ReduceVertex(long[], Collection<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

ReduceVertex(long[], BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>, Vertex<DoubleTensor>...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

ReduceVertex(long[], Collection<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

ReduceVertex(BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>, Supplier<PartialDerivative>, Function<PartialDerivative, Map<Vertex, PartialDerivative>>, Vertex<DoubleTensor>...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

Reduce vertex that assumes shape as inputs

ReduceVertex(List<? extends Vertex<DoubleTensor>>, BiFunction<DoubleTensor, DoubleTensor, DoubleTensor>) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

Reduce vertex that assumes shape as inputs

RegressionModel<OUTPUT> - Class in io.improbable.keanu.model.regression

A general linear regression model that can be fitted to input and output training data.

RegressionModelBuilder<OUTPUT extends Tensor> - Class in io.improbable.keanu.model.regression

Builder class for doing linear regression without regularisation.

RegressionModelBuilder(DoubleTensor, OUTPUT, Function<DoubleVertex, LinearRegressionGraph.OutputVertices<OUTPUT>>) - Constructor for class io.improbable.keanu.model.regression.RegressionModelBuilder

RegressionRegularization - Enum in io.improbable.keanu.model.regression

rejectionStrategy(ProposalRejectionStrategy) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

rejectionStrategy(ProposalRejectionStrategy) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder

relativeChecker(double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker

relativeChecker(ConvergenceChecker.Norm, double) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.ConvergenceChecker

RelativeConvergenceChecker - Class in io.improbable.keanu.algorithms.variational.optimizer

RelativeConvergenceChecker(ConvergenceChecker.Norm, double) - Constructor for class io.improbable.keanu.algorithms.variational.optimizer.RelativeConvergenceChecker

relativeThreshold(double) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder

RemainingTimeComponent - Class in io.improbable.keanu.util.status

StatusBarComponent that shows the estimated remaining time for algorithm completion.

RemainingTimeComponent(long) - Constructor for class io.improbable.keanu.util.status.RemainingTimeComponent

removeComponent(StatusBarComponent) - Method in class io.improbable.keanu.util.status.StatusBar

removeDimension(int, long[]) - Static method in class io.improbable.keanu.tensor.TensorShape

Removes a dimension from a shape.

removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer

removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.nongradient.NonGradientOptimizer

removeFitnessCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Double>) - Method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

Removes a callback function that previously would have been called whenever the optimizer evaluated the fitness of a point.

removeGradientCalculationHandler(BiConsumer<Map<VariableReference, DoubleTensor>, Map<? extends VariableReference, DoubleTensor>>) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.GradientOptimizer

Removes a callback function that previously would have been called whenever the optimizer evaluated the gradient at a point.

removeLabel() - Method in class io.improbable.keanu.vertices.Vertex

render() - Method in class io.improbable.keanu.util.status.AverageTimeComponent

render() - Method in class io.improbable.keanu.util.status.ElapsedTimeComponent

render() - Method in class io.improbable.keanu.util.status.KeanuAnimationComponent

render() - Method in class io.improbable.keanu.util.status.PercentageComponent

render() - Method in class io.improbable.keanu.util.status.RemainingTimeComponent

render() - Method in interface io.improbable.keanu.util.status.StatusBarComponent

Renders the content of a component to a String.

render() - Method in class io.improbable.keanu.util.status.TextComponent

replaceNaN(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

replaceNaN(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

replaceNaN(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

replaceNaNInPlace(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

replaceNaNInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

replaceNaNInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

resample(int, KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.KDEVertex

resetID() - Method in class io.improbable.keanu.vertices.VertexId

reshape(long...) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

reshape(long...) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.generic.GenericTensor

reshape(long...) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

reshape(long...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

reshape(long...) - Method in interface io.improbable.keanu.tensor.Tensor

reshape(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

reshape(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

reshape(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

ReshapeVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

ReshapeVertex(DoubleVertex, long...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex

reverseDiv(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

reverseDiv(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

reverseDiv(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

reverseDiv(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

reverseMinus(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

reverseMinus(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

reverseMinus(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

reverseMinus(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

reverseModeAutoDiff(Vertex, Set<DoubleVertex>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator

reverseModeAutoDiff(Vertex, DoubleVertex...) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator

reverseModeAutoDiff(Vertex<?>, PartialDerivative, Set<? extends Vertex<?>>) - Static method in class io.improbable.keanu.vertices.dbl.Differentiator

reverseModeAutoDifferentiation(PartialDerivative) - Method in interface io.improbable.keanu.vertices.dbl.Differentiable

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleCPTVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleProxyVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.AdditionVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.ArcTan2Vertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DifferenceVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DivisionVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MatrixMultiplicationVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.MultiplicationVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.PowerVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ConcatenationVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.ReduceVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcCosVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcSinVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ArcTanVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.CosVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ExpVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogGammaVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.LogVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixDeterminantVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.MatrixInverseVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.PermuteVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.ReshapeVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SliceVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SumVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex

reverseModeAutoDifferentiation(PartialDerivative) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex

reverseModeAutoDiffLambda - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

right - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda

right - Variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex

right - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpLambda

right - Variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex

RIGHT_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex

RIGHT_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex

RollbackAndCascadeOnRejection - Class in io.improbable.keanu.algorithms.mcmc

When a proposal is created, take a snapshot of the vertices' values.

RollbackAndCascadeOnRejection() - Constructor for class io.improbable.keanu.algorithms.mcmc.RollbackAndCascadeOnRejection

RollBackToCachedValuesOnRejection - Class in io.improbable.keanu.algorithms.mcmc

When a proposal is created, take a snapshot of the vertices' LambdaSections When a proposal is rejected, apply the snapshot to reset the Bayes Net to the old values.

RollBackToCachedValuesOnRejection() - Constructor for class io.improbable.keanu.algorithms.mcmc.RollBackToCachedValuesOnRejection

round() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

round() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

round() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

round() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

roundInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

roundInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

roundInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

Note that we have modified the native Java behaviour to match Python (and therefore ND4J) behaviour Which rounds negative numbers down if they end in 0.5 e.g.

RoundVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

RoundVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.RoundVertex

Applies the Rounding operator to a vertex.

RowsAsObjectParser<T> - Class in io.improbable.keanu.util.csv.pojo.byrow

This class parses csv lines to a specified plain old java object (POJO).

RowsAsObjectParser(Class<T>, Stream<List<String>>, List<String>) - Constructor for class io.improbable.keanu.util.csv.pojo.byrow.RowsAsObjectParser

RowWriter - Class in io.improbable.keanu.util.csv

RowWriter(List<? extends Vertex<? extends Tensor>>, String) - Constructor for class io.improbable.keanu.util.csv.RowWriter

RowWriter(List<? extends Vertex<? extends Tensor>>) - Constructor for class io.improbable.keanu.util.csv.RowWriter

run() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex

run() - Method in interface io.improbable.keanu.vertices.model.ModelVertex

S

S - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

safeLogTimes(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

This fitter uses a PosteriorSamplingAlgorithm, in contrast to the MAPModelFitter and MaximumLikelihoodModelFitter, which use gradient methods.

SamplingModelFitting - Class in io.improbable.keanu.model

SamplingModelFitting(Function<KeanuProbabilisticModel, PosteriorSamplingAlgorithm>, int) - Constructor for class io.improbable.keanu.model.SamplingModelFitting

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

T

T - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

take(long...) - Method in class io.improbable.keanu.vertices.bool.BooleanVertex

take(long...) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

take(long...) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

takeSample(List<? extends Variable>) - Static method in interface io.improbable.keanu.algorithms.mcmc.SamplingAlgorithm

TakeVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

TakeVertex(DoubleVertex, long...) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TakeVertex

A vertex that extracts a scalar at a given index

tan() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

tan() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

tan() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

tan() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

tanInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

tanInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

tanInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

TanVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

TanVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.TanVertex

Takes the tangent of a vertex.

targetAcceptanceProb(double) - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

Tensor<T> - Interface in io.improbable.keanu.tensor

Tensor.FlattenedView<T> - Interface in io.improbable.keanu.tensor

TensorCheckAndRespondValidator<DATATYPE,TENSOR extends Tensor<DATATYPE>> - Class in io.improbable.keanu.tensor.validate

tensorMultiply(DoubleTensor, int[], int[]) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

tensorMultiply(DoubleTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

tensorMultiply(DoubleTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

tensorMultiply(IntegerTensor, int[], int[]) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

tensorMultiply(IntegerTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

tensorMultiply(IntegerTensor, int[], int[]) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

tensorMultiply(T, int[], int[]) - Method in interface io.improbable.keanu.tensor.NumberTensor

TensorShape - Class in io.improbable.keanu.tensor

TensorShape(long[]) - Constructor for class io.improbable.keanu.tensor.TensorShape

TensorShapeValidation - Class in io.improbable.keanu.tensor

TensorValidationPolicy<TENSOR extends Tensor<?>> - Interface in io.improbable.keanu.tensor.validate.policy

TensorValidator<DATATYPE,TENSOR extends Tensor<DATATYPE>> - Interface in io.improbable.keanu.tensor.validate

TensorValueChecker<TENSOR extends Tensor<?>> - Interface in io.improbable.keanu.tensor.validate.check

TensorValueException - Exception in io.improbable.keanu.tensor

TensorValueException(String, BooleanTensor) - Constructor for exception io.improbable.keanu.tensor.TensorValueException

TensorValueNotEqualsCheck<DATATYPE,TENSOR extends Tensor<DATATYPE>> - Class in io.improbable.keanu.tensor.validate.check

TensorValueNotEqualsCheck(DATATYPE) - Constructor for class io.improbable.keanu.tensor.validate.check.TensorValueNotEqualsCheck

TextComponent - Class in io.improbable.keanu.util.status

TextComponent() - Constructor for class io.improbable.keanu.util.status.TextComponent

thatExpects(Function<TENSOR, BooleanTensor>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator

thatExpectsElementwise(Function<DATATYPE, Boolean>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator

thatExpectsNotToFind(DATATYPE) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator

thatFixesElementwise(Function<DATATYPE, Boolean>, TensorValidationPolicy<TENSOR>) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator

thatReplaces(DATATYPE, DATATYPE) - Static method in interface io.improbable.keanu.tensor.validate.TensorValidator

then(Vertex<OUT>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTBuilder.CPTWhenBuilder

then(Vertex<OUT>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder

then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder

then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder

then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder

then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.CPTWhenRawBuilder

then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder.DoubleCPTWhenBuilder

then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.DoubleCPTBuilder.DoubleCPTWhenBuilder

then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder.IntegerCPTWhenBuilder

then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConditionalProbabilityTable.IntegerCPTBuilder.IntegerCPTWhenBuilder

then(Vertex<? extends Tensor<T>>) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(BooleanVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(boolean) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(DoubleVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(double) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(IntegerVertex) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

then(int) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.If.IfThenBuilder

THEN_NAME - Static variable in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex

THEN_NAME - Static variable in class io.improbable.keanu.vertices.intgr.nonprobabilistic.IntegerIfVertex

THETA - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

throwMessage(String) - Static method in interface io.improbable.keanu.tensor.validate.policy.TensorValidationPolicy

ThrowValueException<TENSOR extends Tensor<?>> - Class in io.improbable.keanu.tensor.validate.policy

TimeComponent - Class in io.improbable.keanu.util.status

TimeComponent() - Constructor for class io.improbable.keanu.util.status.TimeComponent

times(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

times(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

times(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

times(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

times(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

times(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

times(IntegerTensor) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

times(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

times(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

times(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

times(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

times(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

times(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

times(IntegerVertex) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

times(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

timesInPlace(double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

timesInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

timesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

timesInPlace(double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

timesInPlace(DoubleTensor) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

timesInPlace(int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

timesInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

timesInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

timesInPlace(int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

timesInPlace(IntegerTensor) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

timesInPlace(T) - Method in interface io.improbable.keanu.tensor.NumberTensor

toByteArray(double[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter

toByteArray(int[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter

toByteArray(boolean[]) - Method in class io.improbable.keanu.util.Py4jByteArrayConverter

toDouble() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

toDouble() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

toDouble() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

toDouble() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

toDouble() - Method in interface io.improbable.keanu.tensor.NumberTensor

toDouble() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

toDoubleMask() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

toDoubleMask() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

toDoubleTensorVariable(Variable<?, ?>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

toFile(File) - Method in class io.improbable.keanu.util.csv.ColumnWriter

toFile(File) - Method in class io.improbable.keanu.util.csv.RowWriter

toFile(File) - Method in class io.improbable.keanu.util.csv.SampleWriter

toFile(File) - Method in class io.improbable.keanu.util.csv.Writer

toFile(String) - Method in class io.improbable.keanu.util.csv.Writer

toGreaterThanMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toGreaterThanMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toGreaterThanOrEqualToMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toGreaterThanOrEqualToMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toInteger() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

toInteger() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

toInteger() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

toInteger() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

toInteger() - Method in interface io.improbable.keanu.tensor.NumberTensor

toInteger() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toIntegerMask() - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

toIntegerMask() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

toLessThanMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toLessThanMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toLessThanOrEqualToMask(DoubleVertex) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toLessThanOrEqualToMask(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

toNetworkStates() - Method in class io.improbable.keanu.algorithms.NetworkSamples

TopologicalSort - Class in io.improbable.keanu.algorithms.graphtraversal

toString() - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

toString() - Method in class io.improbable.keanu.algorithms.mcmc.nuts.NUTS.NUTSBuilder

toString() - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder

toString() - Method in class io.improbable.keanu.distributions.hyperparam.ParameterName

toString() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

toString() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

toString() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

toString() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

toString() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

toString() - Method in class io.improbable.keanu.vertices.Vertex

toString() - Method in class io.improbable.keanu.vertices.VertexId

toString() - Method in class io.improbable.keanu.vertices.VertexLabel

totalNumberOfLatentDimensions(List<long[]>) - Static method in interface io.improbable.keanu.algorithms.variational.optimizer.Optimizer

transpose() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

transpose() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

transpose() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

transpose() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

transpose() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

transpose() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

transpose() - Method in interface io.improbable.keanu.tensor.NumberTensor

Triangular - Class in io.improbable.keanu.distributions.continuous

TriangularVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

TriangularVertex(long[], DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

One xMin, xMax, c or all three that match a proposed tensor shape of Triangular

TriangularVertex(long[], DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(long[], DoubleVertex, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(long[], DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(long[], double, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(long[], double, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(long[], double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(DoubleVertex, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

One to one constructor for mapping some shape of xMin, xMax and c to a matching shaped triangular.

TriangularVertex(DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(DoubleVertex, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(double, DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(double, double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TriangularVertex(double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex

TRUE - Static variable in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBooleanVertex

trues(long...) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor

TWO_SCALAR - Static variable in interface io.improbable.keanu.tensor.dbl.DoubleTensor

TWO_SCALAR - Static variable in interface io.improbable.keanu.tensor.intgr.IntegerTensor

TypedINDArrayFactory - Class in io.improbable.keanu.tensor

TypedINDArrayFactory() - Constructor for class io.improbable.keanu.tensor.TypedINDArrayFactory

U

unaryMinus() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

unaryMinus() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

unaryMinus() - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

unaryMinus() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

unaryMinus() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

unaryMinus() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex

unaryMinus() - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex

unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor

unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

unaryMinusInPlace() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor

unaryMinusInPlace() - Method in interface io.improbable.keanu.tensor.NumberTensor

UnaryOpLambda<IN,OUT> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary

UnaryOpLambda(long[], Vertex<IN>, Function<IN, OUT>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpLambda

UnaryOpVertex<IN,OUT> - Class in io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary

UnaryOpVertex(long[], Vertex<IN>) - Constructor for class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex

Uniform - Class in io.improbable.keanu.distributions.continuous

Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.1.8 page 48

UniformInt - Class in io.improbable.keanu.distributions.discrete

UniformIntVertex - Class in io.improbable.keanu.vertices.intgr.probabilistic

UniformIntVertex(long[], IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(long[], int, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(long[], IntegerTensor, IntegerTensor) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(long[], IntegerVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(long[], int, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(IntegerVertex, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(IntegerVertex, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(int, IntegerVertex) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformIntVertex(int, int) - Constructor for class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex

UniformVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic

UniformVertex(long[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

One xMin or xMax or both that match a proposed tensor shape of Uniform Vertex

UniformVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

One to one constructor for mapping some shape of mu and sigma to a matching shaped Uniform Vertex

UniformVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

UniformVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

UniformVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

UniformVertex(long[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

UniformVertex(long[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

UniformVertex(long[], double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex

unobserve() - Method in interface io.improbable.keanu.vertices.Observable

unobserve() - Method in class io.improbable.keanu.vertices.Vertex

updateFormula(ConjugateGradient.UpdateFormula) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ConjugateGradient.ConjugateGradientBuilder

updateValues() - Method in class io.improbable.keanu.vertices.model.LambdaModelVertex

updateValues() - Method in interface io.improbable.keanu.vertices.model.ModelVertex

V

validate(TENSOR) - Method in class io.improbable.keanu.tensor.validate.DebugTensorValidator

validate(DoubleTensor) - Method in class io.improbable.keanu.tensor.validate.NaNFixingTensorValidator

validate(TENSOR) - Method in class io.improbable.keanu.tensor.validate.TensorCheckAndRespondValidator

validate(TENSOR) - Method in interface io.improbable.keanu.tensor.validate.TensorValidator

value(double[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionAdapter

value(double[]) - Method in class io.improbable.keanu.algorithms.variational.optimizer.gradient.ApacheFitnessFunctionGradientAdapter

VALUE_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 Maps

variableSelector(MHStepVariableSelector) - Method in class io.improbable.keanu.algorithms.mcmc.MetropolisHastings.MetropolisHastingsBuilder

variableSelector(MHStepVariableSelector) - Method in class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing.SimulatedAnnealingBuilder

VariableState - Interface in io.improbable.keanu.network

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.

W

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

X

X - Static variable in class io.improbable.keanu.distributions.hyperparam.Diffs

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

xor(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

xor(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

xorInPlace(BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor

xorInPlace(BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor

Y

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

Z

ZERO_CATCHER - Static variable in interface io.improbable.keanu.tensor.validate.TensorValidator

ZERO_SCALAR - Static variable in interface io.improbable.keanu.tensor.dbl.DoubleTensor

ZERO_SCALAR - Static variable in interface io.improbable.keanu.tensor.intgr.IntegerTensor

zeros(long...) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor

zeros(long[]) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor

zeros(long...) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor

zeros(long[]) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor

zeros(long[], DataBuffer.Type) - Static method in class io.improbable.keanu.tensor.TypedINDArrayFactory

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