io.improbable.keanu.vertices.dbl

Class DoubleVertexSamples

java.lang.Object

io.improbable.keanu.algorithms.Samples<DoubleTensor>

io.improbable.keanu.vertices.dbl.DoubleVertexSamples

public class DoubleVertexSamples
extends Samples<DoubleTensor>

Field Summary

Fields inherited from class io.improbable.keanu.algorithms.Samples

samples

Constructor Summary

Constructors

Constructor and Description
DoubleVertexSamples(java.util.List<DoubleTensor> samples)

Method Summary

Modifier and Type	Method and Description
DoubleTensor	asTensor()
DoubleTensor	getAutocorrelation(long... index) Calculates the autocorrelation of samples across a specified tensor index.
DoubleTensor	getAverages()
DoubleTensor	getVariances()

Methods inherited from class io.improbable.keanu.algorithms.Samples

asList, getMode, probability

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DoubleVertexSamples

public DoubleVertexSamples(java.util.List<DoubleTensor> samples)

Method Detail

getAverages

public DoubleTensor getAverages()

getVariances

public DoubleTensor getVariances()

getAutocorrelation

public DoubleTensor getAutocorrelation(long... index)

Calculates the autocorrelation of samples across a specified tensor index.

Parameters:

index - The tensor index to calculate autocorrelation across.

Returns:

A tensor of autocorrelation at different lags.

asTensor

public DoubleTensor asTensor()

Overrides:

asTensor in class Samples<DoubleTensor>