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Rename Variable tp : List<Object> to featureClassTuple : List<Object> in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.machinelearning.classification.BernoulliNaiveBayes |
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Rename Variable previousFeatureId : int to featureId : int in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.machinelearning.classification.SupportVectorMachine |
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Rename Variable previousFeatureId : int to featureId : int in method public newInstance(dataset Dataframe, addConstantColumn boolean, recordIdsReference Map<Integer,Integer>, featureIdsReference Map<Object,Integer>) : MatrixDataframe in class com.datumbox.common.dataobjects.MatrixDataframe |
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Rename Variable previousClassId : int to classId : int in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.machinelearning.classification.SupportVectorMachine |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected transformDummy(dataset Dataframe, referenceLevels Map<Object,Object>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected normalizeY(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected fitDummy(dataset Dataframe, referenceLevels Map<Object,Object>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected normalizeX(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected denormalizeY(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected fitY(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected denormalizeX(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter data : Dataframe to dataset : Dataframe in method protected fitX(dataset Dataframe, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer |
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Rename Parameter newData : Dataframe to dataset : Dataframe in method protected filterFeatures(dataset Dataframe) : void in class com.datumbox.framework.machinelearning.featureselection.continuous.PCA |
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