io.improbable.keanu.algorithms

Class NetworkSamples

java.lang.Object

io.improbable.keanu.algorithms.NetworkSamples

public class NetworkSamples
extends java.lang.Object

An immutable collection of network samples. A network sample is a collection of values from variables in a network at a given point in time.

Constructor Summary

Constructors

Constructor and Description
NetworkSamples(java.util.Map<VariableReference,? extends java.util.List> samplesByVariable, java.util.List<java.lang.Double> logOfMasterPForEachSample, int size)

Method Summary

Modifier and Type	Method and Description
NetworkSamples	downSample(int downSampleInterval)
NetworkSamples	drop(int dropCount)
static NetworkSamples	from(java.util.List<NetworkSample> networkSamples)
<T> Samples<T>	get(Variable<T,?> variable)
<T> Samples<T>	get(VariableReference variableReference)
BooleanVertexSamples	getBooleanTensorSamples(Variable<BooleanTensor,?> variable)
BooleanVertexSamples	getBooleanTensorSamples(VariableReference variableReference)
DoubleVertexSamples	getDoubleTensorSamples(Variable<DoubleTensor,?> variable)
DoubleVertexSamples	getDoubleTensorSamples(VariableReference variableReference)
IntegerVertexSamples	getIntegerTensorSamples(Variable<IntegerTensor,?> variable)
IntegerVertexSamples	getIntegerTensorSamples(VariableReference variableReference)
double	getLogOfMasterP(int sample)
NetworkState	getMostProbableState()
NetworkState	getNetworkState(int sample)
double	probability(java.util.function.Function<NetworkState,java.lang.Boolean> predicate)
int	size()
java.util.List<NetworkState>	toNetworkStates()

Methods inherited from class java.lang.Object

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

Constructor Detail

NetworkSamples

public NetworkSamples(java.util.Map<VariableReference,? extends java.util.List> samplesByVariable,
                      java.util.List<java.lang.Double> logOfMasterPForEachSample,
                      int size)

Method Detail

from

public static NetworkSamples from(java.util.List<NetworkSample> networkSamples)

size

public int size()

get

public <T> Samples<T> get(Variable<T,?> variable)

get

public <T> Samples<T> get(VariableReference variableReference)

getDoubleTensorSamples

public DoubleVertexSamples getDoubleTensorSamples(Variable<DoubleTensor,?> variable)

getDoubleTensorSamples

public DoubleVertexSamples getDoubleTensorSamples(VariableReference variableReference)

getIntegerTensorSamples

public IntegerVertexSamples getIntegerTensorSamples(Variable<IntegerTensor,?> variable)

getIntegerTensorSamples

public IntegerVertexSamples getIntegerTensorSamples(VariableReference variableReference)

getBooleanTensorSamples

public BooleanVertexSamples getBooleanTensorSamples(Variable<BooleanTensor,?> variable)

getBooleanTensorSamples

public BooleanVertexSamples getBooleanTensorSamples(VariableReference variableReference)

drop

public NetworkSamples drop(int dropCount)

downSample

public NetworkSamples downSample(int downSampleInterval)

probability

public double probability(java.util.function.Function<NetworkState,java.lang.Boolean> predicate)

getNetworkState

public NetworkState getNetworkState(int sample)

getLogOfMasterP

public double getLogOfMasterP(int sample)

toNetworkStates

public java.util.List<NetworkState> toNetworkStates()

getMostProbableState

public NetworkState getMostProbableState()