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Change Parameter Type classIndex : Index to classIndex : Index<String> in method package CRFLogConditionalObjectiveFloatFunction(data int[][][][], labels int[][], window int, classIndex Index<String>, labelIndices List<Index<CRFLabel>>, map int[], backgroundSymbol String, sigma double) in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Parameter Type classIndex : Index to classIndex : Index<String> in method package CRFLogConditionalObjectiveFloatFunction(data int[][][][], labels int[][], window int, classIndex Index<String>, labelIndices List<Index<CRFLabel>>, map int[], backgroundSymbol String) in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Parameter Type classIndex : Index to classIndex : Index<?> in method public toString(classIndex Index<?>) : String in class edu.stanford.nlp.ie.crf.FloatFactorTable |
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Change Parameter Type classIndex : Index to classIndex : Index<String> in method package CRFLogConditionalObjectiveFloatFunction(data int[][][][], labels int[][], window int, classIndex Index<String>, labelIndices List<Index<CRFLabel>>, map int[], prior int, backgroundSymbol String, sigma double) in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Parameter Type datums : List to datums : List<?> in method protected saveProcessedData(datums List<?>, filename String) : void in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Parameter Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method private getDropoutPrior(cliqueTree CRFCliqueTree<String>, docData int[][][], EForADoc Map<Integer,double[]>, docDataHash List<Set<Integer>>, activeFeatures int[], dropoutPriorGrad Map<Integer,double[]>, condensedFeaturesMap Map<Integer,List<Integer>>, EForADocPos List<Map<Integer,double[]>>) : double in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout |
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Change Parameter Type classIndex : Index to classIndex : Index<String> in method package CRFNonLinearSecondOrderLogConditionalObjectiveFunction(data int[][][][], labels int[][], window int, classIndex Index<String>, labelIndices List<Index<CRFLabel>>, map int[], flags SeqClassifierFlags, numNodeFeatures int, numEdgeFeatures int) in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction |
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Change Parameter Type classIndex : Index to classIndex : Index<?> in method private toString(array int[], classIndex Index<?>) : String in class edu.stanford.nlp.ie.crf.FloatFactorTable |
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Change Parameter Type classIndex : Index to classIndex : Index<String> in method package CRFLogConditionalObjectiveFloatFunction(data int[][][][], labels int[][], window int, classIndex Index<String>, labelIndices List<Index<CRFLabel>>, map int[], prior int, backgroundSymbol String) in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Variable Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method private expectedCountsAndValueForADoc(docIndex int, skipExpectedCountCalc boolean, skipValCalc boolean) : Quadruple<Integer,Double,Map<Integer,double[]>,Map<Integer,double[]>> in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout |
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Change Variable Type labelIndex : Index to labelIndex : Index<CRFLabel> in method public calculateWeird1(x float[]) : void in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Variable Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method public calculate(x double[]) : void in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction |
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Change Variable Type cliqueTreeNoisyLabel : CRFCliqueTree to cliqueTreeNoisyLabel : CRFCliqueTree<String> in method protected expectedAndEmpiricalCountsAndValueForADoc(E double[][], Ehat double[][], docIndex int) : double in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel |
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Change Variable Type featureFactory : FeatureFactory to featureFactory : FeatureFactory<IN> in method protected loadTextClassifier(br BufferedReader) : void in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Variable Type labelIndex : Index to labelIndex : Index<CRFLabel> in method public calculate(x float[]) : void in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Variable Type featureFactory : FeatureFactory to featureFactory : FeatureFactory<IN> in method private makeDatumUsingEmbedding(info List<IN>, loc int, featureFactories List<FeatureFactory<IN>>, pInfo PaddedList<IN>, featuresC List<String>, windowCliques List<Clique>) : double[] in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Variable Type labelIndex : Index to labelIndex : Index<CRFLabel> in method public getFloatFactorTable(weights float[][], data int[][], labelIndices List<Index<CRFLabel>>, numClasses int) : FloatFactorTable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction |
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Change Variable Type featureFactory : FeatureFactory to featureFactory : FeatureFactory<IN> in method protected serializeTextClassifier(pw PrintWriter) : void in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Variable Type d : Datum to d : Datum<?,?> in method public equals(o Object) : boolean in class edu.stanford.nlp.ie.crf.CRFDatum |
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Change Variable Type l : List to l : List<Object> in method private toString(array int[], classIndex Index<?>) : String in class edu.stanford.nlp.ie.crf.FloatFactorTable |
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Change Variable Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method protected expectedAndEmpiricalCountsAndValueForADoc(E double[][], Ehat double[][], docIndex int) : double in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel |
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Change Variable Type ff : FeatureFactory to ff : FeatureFactory<IN> in method public serializeClassifier(oos ObjectOutputStream) : void in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Variable Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method public calculate(x double[]) : void in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction |
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Change Variable Type featureFactory : FeatureFactory to featureFactory : FeatureFactory<IN> in method public makeDatum(info List<IN>, loc int, featureFactories List<FeatureFactory<IN>>) : CRFDatum<List<String>,CRFLabel> in class edu.stanford.nlp.ie.crf.CRFClassifier |
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Change Variable Type minimizer : Minimizer to minimizer : Minimizer<DiffFunction> in method private trainWeightsUsingNonLinearCRF(func AbstractCachingDiffFunction, evaluators Evaluator[]) : double[] in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear |
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Change Variable Type cliqueTree : CRFCliqueTree to cliqueTree : CRFCliqueTree<String> in method public calculate(x double[]) : void in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP |
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