public class BetaVertex extends DoubleVertex implements Differentiable, ProbabilisticDouble, SamplableWithManyScalars<DoubleTensor>, LogProbGraphSupplier
Constructor and Description |
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BetaVertex(double alpha,
double beta) |
BetaVertex(double alpha,
DoubleVertex beta) |
BetaVertex(DoubleVertex alpha,
double beta) |
BetaVertex(DoubleVertex alpha,
DoubleVertex beta)
One to one constructor for mapping some tensorShape of alpha and beta to
a matching tensorShaped Beta.
|
BetaVertex(long[] tensorShape,
double alpha,
double beta) |
BetaVertex(long[] tensorShape,
double alpha,
DoubleVertex beta) |
BetaVertex(long[] tensorShape,
DoubleVertex alpha,
double beta) |
BetaVertex(long[] tensorShape,
DoubleVertex alpha,
DoubleVertex beta)
One alpha or beta or both that match a proposed tensor shape of Beta.
|
Modifier and Type | Method and Description |
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java.util.Map<Vertex,DoubleTensor> |
dLogProb(DoubleTensor value,
java.util.Set<? extends Vertex> withRespectTo)
The partial derivatives of the natural log prob.
|
DoubleVertex |
getAlpha() |
DoubleVertex |
getBeta() |
double |
logProb(DoubleTensor value)
This is the natural log of the probability at the supplied value.
|
LogProbGraph |
logProbGraph() |
DoubleTensor |
sampleWithShape(long[] shape,
KeanuRandom random) |
abs, acos, asin, atan, atan2, ceil, concat, cos, div, div, divideBy, divideBy, equalTo, exp, floor, getValue, greaterThan, greaterThanOrEqualTo, lambda, lambda, lessThan, lessThanOrEqualTo, loadValue, log, logGamma, matrixDeterminant, matrixInverse, matrixMultiply, max, min, minus, minus, multiply, multiply, notEqualTo, observe, observe, permute, plus, plus, pow, pow, reshape, reverseDiv, reverseMinus, round, saveValue, setAndCascade, setAndCascade, setValue, setValue, setWithMask, setWithMask, sigmoid, sin, slice, sum, sum, take, tan, times, times, toGreaterThanMask, toGreaterThanMask, toGreaterThanOrEqualToMask, toGreaterThanOrEqualToMask, toInteger, toLessThanMask, toLessThanMask, toLessThanOrEqualToMask, toLessThanOrEqualToMask, unaryMinus
addChild, addParent, addParents, equals, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getObservedValue, getParents, getRank, getReference, getShape, getState, getValue, hashCode, hasValue, isDifferentiable, isObserved, isProbabilistic, lazyEval, observe, observeOwnValue, print, print, removeLabel, save, setAndCascade, setLabel, setLabel, setParents, setParents, setState, setValue, toString, unobserve
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
forwardModeAutoDifferentiation, reverseModeAutoDifferentiation, withRespectToSelf
dLogPdf, dLogPdf, dLogPdf, dLogPdf, dLogPdf, dLogPdf, logPdf, logPdf, logPdf
dLogProb, dLogProbAtValue, dLogProbAtValue, getValue, keepOnlyProbabilisticVertices, logProbAtValue
getObservedValue, isObserved, observe, unobserve
sample, sampleManyScalars, sampleManyScalars
sampleWithShape
public BetaVertex(long[] tensorShape, DoubleVertex alpha, DoubleVertex beta)
If all provided parameters are scalar then the proposed shape determines the shape
tensorShape
- the desired shape of the tensor contained in the vertexalpha
- the alpha of the Beta with either the same tensorShape as specified for this vertex or a scalarbeta
- the beta of the Beta with either the same tensorShape as specified for this vertex or a scalarpublic BetaVertex(DoubleVertex alpha, DoubleVertex beta)
alpha
- the alpha of the Beta with either the same tensorShape as specified for this vertex or a scalarbeta
- the beta of the Beta with either the same tensorShape as specified for this vertex or a scalarpublic BetaVertex(DoubleVertex alpha, double beta)
public BetaVertex(double alpha, DoubleVertex beta)
public BetaVertex(double alpha, double beta)
public BetaVertex(long[] tensorShape, DoubleVertex alpha, double beta)
public BetaVertex(long[] tensorShape, double alpha, DoubleVertex beta)
public BetaVertex(long[] tensorShape, double alpha, double beta)
public DoubleVertex getAlpha()
public DoubleVertex getBeta()
public double logProb(DoubleTensor value)
Probabilistic
logProb
in interface Probabilistic<DoubleTensor>
value
- The supplied value.public LogProbGraph logProbGraph()
logProbGraph
in interface LogProbGraphSupplier
public java.util.Map<Vertex,DoubleTensor> dLogProb(DoubleTensor value, java.util.Set<? extends Vertex> withRespectTo)
Probabilistic
dLogProb
in interface Probabilistic<DoubleTensor>
value
- at a given valuewithRespectTo
- list of parents to differentiate with respect topublic DoubleTensor sampleWithShape(long[] shape, KeanuRandom random)
sampleWithShape
in interface SamplableWithShape<DoubleTensor>