public class LaplaceVertex extends DoubleVertex implements Differentiable, ProbabilisticDouble, SamplableWithManyScalars<DoubleTensor>, LogProbGraphSupplier
Constructor and Description |
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LaplaceVertex(double mu,
double beta) |
LaplaceVertex(double mu,
DoubleVertex beta) |
LaplaceVertex(DoubleVertex mu,
double beta) |
LaplaceVertex(DoubleVertex mu,
DoubleVertex beta)
One to one constructor for mapping some shape of mu and sigma to
a matching shaped Laplace.
|
LaplaceVertex(long[] shape,
double mu,
double beta) |
LaplaceVertex(long[] shape,
double mu,
DoubleVertex beta) |
LaplaceVertex(long[] shape,
DoubleVertex mu,
double beta) |
LaplaceVertex(long[] tensorShape,
DoubleVertex mu,
DoubleVertex beta)
One mu or beta or both that match a proposed tensor shape of Laplace
|
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 |
getBeta() |
DoubleVertex |
getMu() |
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 LaplaceVertex(long[] tensorShape, DoubleVertex mu, DoubleVertex beta)
If all provided parameters are scalar then the proposed shape determines the shape
tensorShape
- the desired shape of the tensor within the vertexmu
- the mu of the Laplace with either the same shape as specified for this vertex or a scalarbeta
- the beta of the Laplace with either the same shape as specified for this vertex or a scalarpublic LaplaceVertex(long[] shape, DoubleVertex mu, double beta)
public LaplaceVertex(long[] shape, double mu, DoubleVertex beta)
public LaplaceVertex(long[] shape, double mu, double beta)
public LaplaceVertex(DoubleVertex mu, DoubleVertex beta)
mu
- the mu of the Laplace with either the same shape as specified for this vertex or a scalarbeta
- the beta of the Laplace with either the same shape as specified for this vertex or a scalarpublic LaplaceVertex(DoubleVertex mu, double beta)
public LaplaceVertex(double mu, DoubleVertex beta)
public LaplaceVertex(double mu, double beta)
public DoubleVertex getMu()
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>