public class StudentTVertex extends DoubleVertex implements Differentiable, ProbabilisticDouble, SamplableWithManyScalars<DoubleTensor>, LogProbGraphSupplier
Constructor and Description |
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StudentTVertex(int v) |
StudentTVertex(IntegerVertex v) |
StudentTVertex(long[] tensorShape,
int v) |
StudentTVertex(long[] tensorShape,
IntegerVertex v)
One v that must match a proposed tensor shape of StudentT
|
Modifier and Type | Method and Description |
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java.util.Map<Vertex,DoubleTensor> |
dLogProb(DoubleTensor t,
java.util.Set<? extends Vertex> withRespect)
The partial derivatives of the natural log prob.
|
IntegerVertex |
getV() |
double |
logProb(DoubleTensor t)
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, transpose, 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 StudentTVertex(long[] tensorShape, IntegerVertex v)
If all provided parameters are scalar then the proposed shape determines the shape
tensorShape
- expected tensor shapev
- Degrees of Freedompublic StudentTVertex(long[] tensorShape, int v)
public StudentTVertex(IntegerVertex v)
public StudentTVertex(int v)
public IntegerVertex getV()
public double logProb(DoubleTensor t)
Probabilistic
logProb
in interface Probabilistic<DoubleTensor>
t
- The supplied value.public LogProbGraph logProbGraph()
logProbGraph
in interface LogProbGraphSupplier
public java.util.Map<Vertex,DoubleTensor> dLogProb(DoubleTensor t, java.util.Set<? extends Vertex> withRespect)
Probabilistic
dLogProb
in interface Probabilistic<DoubleTensor>
t
- at a given valuewithRespect
- list of parents to differentiate with respect topublic DoubleTensor sampleWithShape(long[] shape, KeanuRandom random)
sampleWithShape
in interface SamplableWithShape<DoubleTensor>