edu.stanford.nlp.loglinear.benchmarks

Class GamePlayerBenchmark.SampleState

java.lang.Object

edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState

Enclosing class:

GamePlayerBenchmark

public static class GamePlayerBenchmark.SampleState
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
GraphicalModel.Factor	addedFactor
double[][]	cachedMarginal
java.util.List<GamePlayerBenchmark.SampleState>	children
int	observation
int	variable

Constructor Summary

Constructors

Constructor and Description
SampleState(GraphicalModel.Factor addedFactor, int variable, int observation)

Method Summary

Modifier and Type	Method and Description
void	pop(GraphicalModel model) See push() for an explanation.
void	push(GraphicalModel model) This applies this SampleState to the model.

Methods inherited from class java.lang.Object

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

Field Detail

addedFactor

public GraphicalModel.Factor addedFactor

variable

public int variable

observation

public int observation

children

public java.util.List<GamePlayerBenchmark.SampleState> children

cachedMarginal

public double[][] cachedMarginal

Constructor Detail

SampleState

public SampleState(GraphicalModel.Factor addedFactor,
                   int variable,
                   int observation)

Method Detail

push

public void push(GraphicalModel model)

This applies this SampleState to the model. The name comes from an analogy to a stack. If we take a sample path, involving a number of steps through the model, we push() each SampleState onto the model one at a time, then when we return from the sample we can pop() each SampleState off the model, and be left with our original model state.

Parameters:

model - the model to push this SampleState onto

pop

public void pop(GraphicalModel model)

See push() for an explanation.

Parameters:

model - the model to pop this SampleState from