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Change Variable Type numericalScaler : MinMaxScaler to numericalScaler : StandardScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest |
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Change Variable Type numericalScaler : MinMaxScaler to numericalScaler : StandardScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest |
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Change Variable Type columnValues : FlatDataList to columnValues : FlatDataCollection in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.core.machinelearning.preprocessing.MinMaxScaler |
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Change Variable Type nsParams : MinMaxScaler.TrainingParameters to nsParams : StandardScaler.TrainingParameters in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest |
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Change Variable Type nsParams : MinMaxScaler.TrainingParameters to nsParams : StandardScaler.TrainingParameters in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest |
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Change Variable Type nsParams : MinMaxScaler.TrainingParameters to nsParams : StandardScaler.TrainingParameters in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest |
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Change Variable Type numericalScaler : MinMaxScaler to numericalScaler : StandardScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest |
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