edu.stanford.nlp.loglinear.benchmarks

Class GamePlayerBenchmark

java.lang.Object

edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark

public class GamePlayerBenchmark
extends java.lang.Object

Created on 9/11/15.

Author:

keenon

This simulates game-player-like activity, with a few CoNLL CliqueTrees playing host to lots and lots of manipulations by adding and removing human "observations". In real life, this kind of behavior occurs during sampling lookahead for LENSE-like systems.

In order to measure only the realistic parts of behavior, and not the random generation of numbers, we pre-cache a few hundred ConcatVectors representing human obs features, then our feature function is just indexing into that cache. The cache is designed to require a bit of L1 cache eviction to page through, so that we don't see artificial speed gains during dot products b/c we already have both features and weights in L1 cache.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GamePlayerBenchmark.SampleState

Constructor Summary

Constructors

Constructor and Description
GamePlayerBenchmark()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

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

Constructor Detail

GamePlayerBenchmark

public GamePlayerBenchmark()

Method Detail

main

public static void main(java.lang.String[] args)
                 throws java.io.IOException,
                        java.lang.ClassNotFoundException

Throws:

java.io.IOException

java.lang.ClassNotFoundException