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Change Variable Type m : MatrixDataframe to m : DataframeMatrix in method public parseDataset(newData Dataframe, recordIdsReference Map<Integer,Integer>, featureIdsReference Map<Object,Integer>) : DataframeMatrix in class com.datumbox.framework.common.dataobjects.DataframeMatrix |
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Change Variable Type matrixDataset : MatrixDataframe to matrixDataset : DataframeMatrix in method protected _predict(newData Dataframe) : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegression |
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Change Variable Type matrixDataset : MatrixDataframe to matrixDataset : DataframeMatrix in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegression |
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Change Variable Type matrixDataset : MatrixDataframe to matrixDataset : DataframeMatrix in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.core.machinelearning.featureselection.PCA |
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Change Variable Type m : MatrixDataframe to m : DataframeMatrix in method public newInstance(dataset Dataframe, addConstantColumn boolean, recordIdsReference Map<Integer,Integer>, featureIdsReference Map<Object,Integer>) : DataframeMatrix in class com.datumbox.framework.common.dataobjects.DataframeMatrix |
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Change Variable Type matrixDataset : MatrixDataframe to matrixDataset : DataframeMatrix in method protected _transform(newData Dataframe) : void in class com.datumbox.framework.core.machinelearning.featureselection.PCA |
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