cc.mallet.grmm.learning
Class DefaultAcrfTrainer

java.lang.Object
  cc.mallet.grmm.learning.DefaultAcrfTrainer

All Implemented Interfaces:

ACRFTrainer

Direct Known Subclasses:

PiecewiseACRFTrainer, PseudolikelihoodACRFTrainer, PwplACRFTrainer

public class DefaultAcrfTrainer
extends java.lang.Object
implements ACRFTrainer

Class for training ACRFs.

Created: Thu Oct 16 17:53:14 2003

Version:

$Id: DefaultAcrfTrainer.java,v 1.1 2007/10/22 21:37:43 mccallum Exp $

Author:

Charles Sutton

Nested Class Summary

static class	DefaultAcrfTrainer.FileEvaluator
static class	DefaultAcrfTrainer.LogEvaluator
static class	DefaultAcrfTrainer.TestResults

Constructor Summary

DefaultAcrfTrainer()

Method Summary

protected boolean	callEvaluator(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, int iter, ACRFEvaluator eval)
protected Optimizable.ByGradientValue	createOptimizable(ACRF acrf, InstanceList trainingList)
Optimizer	getMaxer()
static java.util.Random	getRandom()
boolean	incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter)
boolean	incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)
static boolean	isRethrowExceptions()
void	setMaxer(Optimizer maxer)
void	setOutputPrefix(java.io.File f)
static void	setRethrowExceptions(boolean rethrowExceptions)
boolean	someUnsupportedTrain(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)
void	test(ACRF acrf, InstanceList testing, ACRFEvaluator eval)
void	test(ACRF acrf, InstanceList testing, ACRFEvaluator[] evals)
boolean	train(ACRF acrf, InstanceList training)
boolean	train(ACRF acrf, InstanceList training, ACRFEvaluator eval, int numIter)
void	train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, double[] proportions, int iterPerProportion)
boolean	train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)
boolean	train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
boolean	train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)
boolean	train(ACRF acrf, InstanceList training, int numIter)

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultAcrfTrainer

public DefaultAcrfTrainer()

Method Detail

setOutputPrefix

public void setOutputPrefix(java.io.File f)

getMaxer

public Optimizer getMaxer()

setMaxer

public void setMaxer(Optimizer maxer)

isRethrowExceptions

public static boolean isRethrowExceptions()

setRethrowExceptions

public static void setRethrowExceptions(boolean rethrowExceptions)

train

public boolean train(ACRF acrf,
                     InstanceList training)

Specified by:

train in interface ACRFTrainer

train

public boolean train(ACRF acrf,
                     InstanceList training,
                     int numIter)

Specified by:

train in interface ACRFTrainer

train

public boolean train(ACRF acrf,
                     InstanceList training,
                     ACRFEvaluator eval,
                     int numIter)

Specified by:

train in interface ACRFTrainer

train

public boolean train(ACRF acrf,
                     InstanceList training,
                     InstanceList validation,
                     InstanceList testing,
                     int numIter)

Specified by:

train in interface ACRFTrainer

train

public boolean train(ACRF acrf,
                     InstanceList trainingList,
                     InstanceList validationList,
                     InstanceList testSet,
                     ACRFEvaluator eval,
                     int numIter)

Specified by:

train in interface ACRFTrainer

createOptimizable

protected Optimizable.ByGradientValue createOptimizable(ACRF acrf,
                                                        InstanceList trainingList)

incrementalTrain

public boolean incrementalTrain(ACRF acrf,
                                InstanceList training,
                                InstanceList validation,
                                InstanceList testing,
                                int numIter)

incrementalTrain

public boolean incrementalTrain(ACRF acrf,
                                InstanceList training,
                                InstanceList validation,
                                InstanceList testing,
                                ACRFEvaluator eval,
                                int numIter)

train

public boolean train(ACRF acrf,
                     InstanceList trainingList,
                     InstanceList validationList,
                     InstanceList testSet,
                     ACRFEvaluator eval,
                     int numIter,
                     Optimizable.ByGradientValue macrf)

Specified by:

train in interface ACRFTrainer

callEvaluator

protected boolean callEvaluator(ACRF acrf,
                                InstanceList trainingList,
                                InstanceList validationList,
                                InstanceList testSet,
                                int iter,
                                ACRFEvaluator eval)

Returns:

true means stop, false means keep going (opposite of evaluators... ugh!)

someUnsupportedTrain

public boolean someUnsupportedTrain(ACRF acrf,
                                    InstanceList trainingList,
                                    InstanceList validationList,
                                    InstanceList testSet,
                                    ACRFEvaluator eval,
                                    int numIter)

test

public void test(ACRF acrf,
                 InstanceList testing,
                 ACRFEvaluator eval)

test

public void test(ACRF acrf,
                 InstanceList testing,
                 ACRFEvaluator[] evals)

getRandom

public static java.util.Random getRandom()

train

public void train(ACRF acrf,
                  InstanceList training,
                  InstanceList validation,
                  InstanceList testing,
                  ACRFEvaluator eval,
                  double[] proportions,
                  int iterPerProportion)