public class ParetoVertex extends DoubleVertex implements Differentiable, ProbabilisticDouble, SamplableWithManyScalars<DoubleTensor>, LogProbGraphSupplier
Constructor and Description |
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ParetoVertex(double location,
double scale) |
ParetoVertex(double location,
DoubleVertex scale) |
ParetoVertex(DoubleVertex location,
double scale) |
ParetoVertex(DoubleVertex location,
DoubleVertex scale) |
ParetoVertex(long[] tensorShape,
double location,
double scale) |
ParetoVertex(long[] tensorShape,
double location,
DoubleVertex scale) |
ParetoVertex(long[] tensorShape,
DoubleVertex location,
double scale) |
ParetoVertex(long[] tensorShape,
DoubleVertex location,
DoubleVertex scale)
Provides a Vertex implementing the Pareto Distribution.
|
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 |
getLocation() |
DoubleVertex |
getScale() |
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, 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 ParetoVertex(long[] tensorShape, DoubleVertex location, DoubleVertex scale)
If all provided parameters are scalar then the proposed shape determines the shape
tensorShape
- the desired shape of the tensor in this vertexlocation
- the location value(s) of the Pareto. Must either be the same shape as tensorShape or a scalarscale
- the scale value(s) of the Pareto. Must either be the same shape as tensorShape or a scalarpublic ParetoVertex(DoubleVertex location, DoubleVertex scale)
public ParetoVertex(double location, DoubleVertex scale)
public ParetoVertex(DoubleVertex location, double scale)
public ParetoVertex(double location, double scale)
public ParetoVertex(long[] tensorShape, double location, DoubleVertex scale)
public ParetoVertex(long[] tensorShape, DoubleVertex location, double scale)
public ParetoVertex(long[] tensorShape, double location, double scale)
public DoubleVertex getScale()
public DoubleVertex getLocation()
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>