edu.stanford.nlp.ie.crf

Class CRFClassifierWithDropout<IN extends CoreMap>

java.lang.Object

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

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

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

All Implemented Interfaces:

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

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

Subclass of CRFClassifier that performs dropout feature-noising 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

Constructor and Description
CRFClassifierWithDropout(SeqClassifierFlags flags)

Method Summary

Modifier and Type	Method and Description
protected CRFLogConditionalObjectiveFunction	getObjectiveFunction(int[][][][] data, int[][] labels)
protected java.util.Collection<java.util.List<IN>>	loadAuxiliaryData(java.util.Collection<java.util.List<IN>> docs, DocumentReaderAndWriter<IN> readerAndWriter) Load auxiliary data to be used in constructing features and labels Intended to be overridden by subclasses

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, getSequenceModel, 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, trainWeights, 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

CRFClassifierWithDropout

public CRFClassifierWithDropout(SeqClassifierFlags flags)

Method Detail

loadAuxiliaryData

protected java.util.Collection<java.util.List<IN>> loadAuxiliaryData(java.util.Collection<java.util.List<IN>> docs,
                                                                     DocumentReaderAndWriter<IN> readerAndWriter)

Description copied from class: CRFClassifier

Load auxiliary data to be used in constructing features and labels Intended to be overridden by subclasses

Overrides:

loadAuxiliaryData in class CRFClassifier<IN extends CoreMap>

getObjectiveFunction

protected CRFLogConditionalObjectiveFunction getObjectiveFunction(int[][][][] data,
                                                                  int[][] labels)

Overrides:

getObjectiveFunction in class CRFClassifier<IN extends CoreMap>