io.improbable.keanu.vertices.tensor.number.floating.operators.unary

Class StandardizeVertex<T extends java.lang.Number,TENSOR extends FloatingPointTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>

java.lang.Object

io.improbable.keanu.vertices.VertexImpl<TENSOR,VERTEX>

io.improbable.keanu.vertices.tensor.UnaryTensorOpVertex<T,TENSOR,VERTEX>

io.improbable.keanu.vertices.tensor.number.floating.operators.unary.StandardizeVertex<T,TENSOR,VERTEX>

All Implemented Interfaces:

Variable<TENSOR,VertexState<TENSOR>>, BaseTensor<BooleanVertex,T,VERTEX>, NonProbabilistic<TENSOR>, NonProbabilisticVertex<TENSOR,VERTEX>, Observable<TENSOR>, Differentiable, TensorVertex<T,TENSOR,VERTEX>, Vertex<TENSOR,VERTEX>, VertexUnaryOp<TensorVertex<T,TENSOR,VERTEX>>

public class StandardizeVertex<T extends java.lang.Number,TENSOR extends FloatingPointTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>
extends UnaryTensorOpVertex<T,TENSOR,VERTEX>
implements NonProbabilisticVertex<TENSOR,VERTEX>, Differentiable

Field Summary

Fields inherited from class io.improbable.keanu.vertices.tensor.UnaryTensorOpVertex

INPUT_NAME, inputVertex

Fields inherited from interface io.improbable.keanu.BaseTensor

SCALAR_SHAPE

Constructor Summary

Constructors

Constructor and Description
StandardizeVertex(TensorVertex<T,TENSOR,VERTEX> inputVertex)

Method Summary

Modifier and Type	Method and Description
ForwardModePartialDerivative	forwardModeAutoDifferentiation(java.util.Map<Vertex,ForwardModePartialDerivative> derivativeOfParentsWithRespectToInput)
protected TENSOR	op(TENSOR value)
java.util.Map<Vertex,ReverseModePartialDerivative>	reverseModeAutoDifferentiation(ReverseModePartialDerivative derivativeOfOutputWithRespectToSelf)

Methods inherited from class io.improbable.keanu.vertices.tensor.UnaryTensorOpVertex

calculate, getInputVertex, ofType, wrap

Methods inherited from class io.improbable.keanu.vertices.VertexImpl

addChild, addParent, addParents, equals, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getLength, getObservedValue, getParents, getRank, getReference, getShape, getState, getStride, getValue, hashCode, hasValue, isDifferentiable, isObserved, isProbabilistic, lazyEval, observe, observeOwnValue, print, print, removeLabel, setAndCascade, setLabel, setLabel, setParents, setParents, setState, setValue, toString, unobserve

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface io.improbable.keanu.vertices.Vertex

addChild, addParent, addParents, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getLength, getObservedValue, getParents, getRank, getReference, getShape, getState, getStride, getValue, hasValue, isDifferentiable, isObserved, isProbabilistic, lazyEval, observe, observeOwnValue, ofType, print, print, removeLabel, setAndCascade, setLabel, setLabel, setParents, setParents, setState, setValue, unobserve

Methods inherited from interface io.improbable.keanu.vertices.NonProbabilistic

calculate, contradictsObservation

Methods inherited from interface io.improbable.keanu.vertices.tensor.number.floating.dbl.Differentiable

ofSelfWrtSelf, wrtSelfOfSelf

Methods inherited from interface io.improbable.keanu.vertices.tensor.TensorVertex

broadcast, diag, diagPart, elementwiseEquals, elementwiseEquals, fillTriangular, get, notEqualTo, notEqualTo, permute, reshape, slice, slice, take, trianglePart, triLower, triUpper, where

Methods inherited from interface io.improbable.keanu.BaseTensor

expandDims, getLength, getRank, getShape, getStride, isLengthOne, isMatrix, isScalar, isVector, moveAxis, slice, sliceAlongDimension, squeeze, swapAxis, transpose

Constructor Detail

StandardizeVertex

public StandardizeVertex(TensorVertex<T,TENSOR,VERTEX> inputVertex)

Method Detail

op

protected TENSOR op(TENSOR value)

Specified by:

op in class UnaryTensorOpVertex<T extends java.lang.Number,TENSOR extends FloatingPointTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>

forwardModeAutoDifferentiation

public ForwardModePartialDerivative forwardModeAutoDifferentiation(java.util.Map<Vertex,ForwardModePartialDerivative> derivativeOfParentsWithRespectToInput)

Specified by:

forwardModeAutoDifferentiation in interface Differentiable

reverseModeAutoDifferentiation

public java.util.Map<Vertex,ReverseModePartialDerivative> reverseModeAutoDifferentiation(ReverseModePartialDerivative derivativeOfOutputWithRespectToSelf)

Specified by:

reverseModeAutoDifferentiation in interface Differentiable