public class HalfGaussianVertex extends GaussianVertex
MU_NAME, SIGMA_NAME| Constructor and Description |
|---|
HalfGaussianVertex(double sigma) |
HalfGaussianVertex(DoubleVertex sigma) |
HalfGaussianVertex(long[] tensorShape,
double sigma) |
HalfGaussianVertex(long[] tensorShape,
DoubleVertex sigma)
One sigma that matches a proposed tensor shape of HalfGaussian (a Gaussian with mu = 0 and non-negative x).
|
| Modifier and Type | Method and Description |
|---|---|
java.util.Map<Vertex,DoubleTensor> |
dLogProb(DoubleTensor value,
java.util.Set<? extends Vertex> withRespectTo)
The partial derivatives of the natural log prob.
|
double |
logProb(DoubleTensor value)
This is the natural log of the probability at the supplied value.
|
LogProbGraph |
logProbGraph() |
DoubleTensor |
sampleWithShape(long[] shape,
KeanuRandom random) |
getMu, getSigmaabs, 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, unaryMinusaddChild, 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, unobserveclone, finalize, getClass, notify, notifyAll, wait, wait, waitforwardModeAutoDifferentiation, reverseModeAutoDifferentiation, withRespectToSelfdLogPdf, dLogPdf, dLogPdf, dLogPdf, dLogPdf, dLogPdf, logPdf, logPdf, logPdfdLogProb, dLogProbAtValue, dLogProbAtValue, getValue, keepOnlyProbabilisticVertices, logProbAtValuegetObservedValue, isObserved, observe, unobservesample, sampleManyScalars, sampleManyScalarssampleWithShapepublic HalfGaussianVertex(long[] tensorShape,
DoubleVertex sigma)
If provided parameter is scalar then the proposed shape determines the shape
tensorShape - the desired shape of the tensor in this vertexsigma - the sigma of the HalfGaussian with either the same tensorShape as specified for this vertex or a scalarpublic HalfGaussianVertex(DoubleVertex sigma)
public HalfGaussianVertex(double sigma)
public HalfGaussianVertex(long[] tensorShape,
double sigma)
public double logProb(DoubleTensor value)
ProbabilisticlogProb in interface Probabilistic<DoubleTensor>logProb in class GaussianVertexvalue - The supplied value.public LogProbGraph logProbGraph()
logProbGraph in interface LogProbGraphSupplierlogProbGraph in class GaussianVertexpublic java.util.Map<Vertex,DoubleTensor> dLogProb(DoubleTensor value, java.util.Set<? extends Vertex> withRespectTo)
ProbabilisticdLogProb in interface Probabilistic<DoubleTensor>dLogProb in class GaussianVertexvalue - at a given valuewithRespectTo - list of parents to differentiate with respect topublic DoubleTensor sampleWithShape(long[] shape, KeanuRandom random)
sampleWithShape in interface SamplableWithShape<DoubleTensor>sampleWithShape in class GaussianVertex