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Rename Variable EpFj_model : Map<List<Object>,Double> to tmp_EpFj_model : Map<List<Object>,Double> in method private IIS(trainingData Dataset, EpFj_observed Map<List<Object>,Double>, Cmax double) : void in class com.datumbox.framework.machinelearning.classification.MaximumEntropy |
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Rename Variable varianceSumX : Map<Object,Double> to tmp_varianceSumX : Map<Object,Double> in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Rename Variable featureClassCounts : Map<List<Object>,Integer> to tmp_featureClassCounts : Map<List<Object>,Integer> in method protected _fit(data Dataset) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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Rename Variable minClusterDistanceId : Map<Integer,Integer> to tmp_minClusterDistanceId : Map<Integer,Integer> in method private calculateClusters(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.HierarchicalAgglomerative |
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Rename Variable varianceSumXsquare : Map<Object,Double> to tmp_varianceSumXsquare : Map<Object,Double> in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Rename Variable observationWeights : Map<Object,Object> to tmp_observationWeights : Map<Object,Object> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.common.bases.basemodels.BaseBoostingBagging |
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Rename Variable classCounts : Map<Object,Integer> to tmp_classCounts : Map<Object,Integer> in method protected _fit(data Dataset) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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Rename Variable EpFj_observed : Map<List<Object>,Double> to tmp_EpFj_observed : Map<List<Object>,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.classification.MaximumEntropy |
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Rename Variable categoricalFrequencies : Map<Object,Double> to tmp_categoricalFrequencies : Map<Object,Double> in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Rename Variable newThitas : Map<List<Object>,Double> to tmp_newThitas : Map<List<Object>,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.classification.SoftMaxRegression |
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Rename Variable idfMap : Map<Object,Double> to tmp_idfMap : Map<Object,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.featureselection.scorebased.TFIDF |
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Rename Variable newThitas : Map<Object,Double> to tmp_newThitas : Map<Object,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.classification.OrdinalRegression |
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Rename Variable newWeights : Map<Object,Double> to tmp_newWeights : Map<Object,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.classification.OrdinalRegression |
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Rename Variable distanceArray : Map<List<Object>,Double> to tmp_distanceArray : Map<List<Object>,Double> in method private calculateClusters(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.HierarchicalAgglomerative |
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Rename Variable newThitas : Map<Object,Double> to tmp_newThitas : Map<Object,Double> in method protected _fit(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.regression.NLMS |
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Rename Variable featureCounts : Map<Object,Double> to tmp_featureCounts : Map<Object,Double> in method protected _fit(data Dataset) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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