Package edu.stanford.nlp.ie.crf
Class CRFClassifierFloat<IN extends CoreMap>
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- edu.stanford.nlp.ie.AbstractSequenceClassifier<IN>
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- edu.stanford.nlp.ie.crf.CRFClassifier<IN>
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- edu.stanford.nlp.ie.crf.CRFClassifierFloat<IN>
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public class CRFClassifierFloat<IN extends CoreMap> extends CRFClassifier<IN>
Subclass of CRFClassifier that performs dropout feature-noisying training- Author:
- Mengqiu Wang
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Field Summary
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Fields inherited from class edu.stanford.nlp.ie.crf.CRFClassifier
DEFAULT_CLASSIFIER
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Fields inherited from class edu.stanford.nlp.ie.AbstractSequenceClassifier
classIndex, featureFactories, flags, knownLCWords, pad, windowSize
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Constructor Summary
Constructors Modifier Constructor Description protectedCRFClassifierFloat()CRFClassifierFloat(SeqClassifierFlags flags)CRFClassifierFloat(Properties props)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method 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, serializeFeatureIndexToText, serializeTextClassifier, serializeTextClassifier, serializeWeights, to2D, topWeights, toString, train, updateWeightsForTest, writeWeights, zeroOrderProbabilities
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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
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Constructor Detail
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CRFClassifierFloat
protected CRFClassifierFloat()
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CRFClassifierFloat
public CRFClassifierFloat(Properties props)
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CRFClassifierFloat
public CRFClassifierFloat(SeqClassifierFlags flags)
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Method Detail
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trainWeights
protected double[] trainWeights(int[][][][] data, int[][] labels, Evaluator[] evaluators, int pruneFeatureItr, double[][][][] featureVals)- Overrides:
trainWeightsin classCRFClassifier<IN extends CoreMap>
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