edu.stanford.nlp.ie.crf

Class CRFClassifierFloat<IN extends CoreMap>

java.lang.Object

edu.stanford.nlp.ie.AbstractSequenceClassifier<IN>

edu.stanford.nlp.ie.crf.CRFClassifier<IN>

edu.stanford.nlp.ie.crf.CRFClassifierFloat<IN>

All Implemented Interfaces:

java.util.function.Function<java.lang.String,java.lang.String>

public class CRFClassifierFloat<IN extends CoreMap>
extends CRFClassifier<IN>

Subclass of CRFClassifier that performs dropout feature-noisying training

Author:

Mengqiu Wang

Field Summary

Fields inherited from class edu.stanford.nlp.ie.crf.CRFClassifier

DEFAULT_CLASSIFIER

Fields inherited from class edu.stanford.nlp.ie.AbstractSequenceClassifier

classIndex, featureFactories, flags, knownLCWords, pad, windowSize

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	CRFClassifierFloat()
	CRFClassifierFloat(java.util.Properties props)
	CRFClassifierFloat(SeqClassifierFlags flags)

Method Summary

Modifier and Type	Method and Description
protected double[]	trainWeights(int[][][][] data, int[][] labels, Evaluator[] evaluators, int pruneFeatureItr, double[][][][] featureVals)

Methods inherited from class edu.stanford.nlp.ie.crf.CRFClassifier

addProcessedData, allLabels, classify, classifyGibbs, classifyGibbs, classifyMaxEnt, classifyWithGlobalInformation, combine, documentsToDataAndLabels, documentsToDataAndLabelsList, documentToDataAndLabels, dropFeaturesBelowThreshold, dumpFeatures, extractDatumSequence, getClassifier, getClassifier, getClassifier, getClassifier, getClassifier, getClassifier, getClassifierNoExceptions, getCliquePotentialFunctionForTest, getCliqueTree, getCliqueTree, getCliqueTrees, getDefaultClassifier, getDefaultClassifier, getMinimizer, getMinimizer, getNumWeights, getObjectiveFunction, getSequenceModel, loadAuxiliaryData, loadClassifier, loadClassIndexFromFile, loadDefaultClassifier, loadDefaultClassifier, loadFeatureIndexFromFile, loadProcessedData, loadTagIndex, loadTextClassifier, loadTextClassifier, loadWeightsFromFile, main, makeAnswerArraysAndTagIndex, makeDatum, printFactorTable, printFactorTableDocument, printFactorTableDocuments, printFeatures, printFirstOrderProbs, printFirstOrderProbsDocument, printFirstOrderProbsDocuments, printLabelInformation, printLabelValue, printProbsDocument, pruneNodeFeatureIndices, saveProcessedData, scaleWeights, serializeClassifier, serializeClassifier, serializeClassIndex, serializeFeatureIndex, serializeTextClassifier, serializeTextClassifier, serializeWeights, to2D, topWeights, toString, train, updateWeightsForTest, writeWeights, zeroOrderProbabilities

Methods inherited from class edu.stanford.nlp.ie.AbstractSequenceClassifier

apply, backgroundSymbol, classify, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswersKBest, classifyAndWriteAnswersKBest, classifyAndWriteViterbiSearchGraph, classifyFile, classifyFilesAndWriteAnswers, classifyFilesAndWriteAnswers, classifyKBest, classifyRaw, classifySentence, classifySentenceWithGlobalInformation, classifyStdin, classifyStdin, classifyToCharacterOffsets, classifyToString, classifyToString, classifyWithInlineXML, countResults, countResultsSegmenter, defaultReaderAndWriter, finalizeClassification, getKnownLCWords, getSampler, labels, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, makeObjectBankFromFile, makeObjectBankFromFile, makeObjectBankFromFiles, makeObjectBankFromFiles, makeObjectBankFromFiles, makeObjectBankFromReader, makeObjectBankFromString, makePlainTextReaderAndWriter, makePlainTextReaderAndWriter, makeReaderAndWriter, plainTextReaderAndWriter, printFeatureLists, printFeatures, printProbs, printProbs, printProbsDocuments, printResults, reinit, segmentString, segmentString, train, train, train, train, train, train, windowSize, writeAnswers

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.function.Function

andThen, compose, identity

Constructor Detail

CRFClassifierFloat

protected CRFClassifierFloat()

CRFClassifierFloat

public CRFClassifierFloat(java.util.Properties props)

CRFClassifierFloat

public CRFClassifierFloat(SeqClassifierFlags flags)

Method Detail

trainWeights

protected double[] trainWeights(int[][][][] data,
                                int[][] labels,
                                Evaluator[] evaluators,
                                int pruneFeatureItr,
                                double[][][][] featureVals)

Overrides:

trainWeights in class CRFClassifier<IN extends CoreMap>