d7344785d7ba51ff432881980f79f207a820034c
Files Diff
- Added: 5
- Removed: 6
- Renamed: 0
- Modified: 26
Refactorings reported:
| Refactoring Name | Occurences | ||
|---|---|---|---|
| Rename Method | 3 | ||
| Rename Method public setDataTransformerTrainingParameters(dataTransformerTrainingParameters AbstractTransformer.AbstractTrainingParameters) : void renamed to public setCategoricalEncoderTrainingParameters(categoricalEncoderTrainingParameters AbstractCategoricalEncoder.AbstractTrainingParameters) : void in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Rename Method public predict(newData Dataframe) : void renamed to public _predict(newData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Method public getDataTransformerTrainingParameters() : AbstractTransformer.AbstractTrainingParameters renamed to public getNumericalScalerTrainingParameters() : AbstractNumericalScaler.AbstractTrainingParameters in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Change Parameter Type | 1 | ||
| Change Parameter Type dataTransformerTrainingParameters : AbstractTransformer.AbstractTrainingParameters to categoricalEncoderTrainingParameters : AbstractCategoricalEncoder.AbstractTrainingParameters in method public setCategoricalEncoderTrainingParameters(categoricalEncoderTrainingParameters AbstractCategoricalEncoder.AbstractTrainingParameters) : void in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Rename Variable | 23 | ||
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.BootstrapAggregatingTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Rename Variable df : XMinMaxNormalizer to scaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Rename Variable dtParams : DummyXMinMaxNormalizer.TrainingParameters to ceParams : CornerConstraintsEncoder.TrainingParameters in method public testTrainAndValidate() : void in class com.datumbox.framework.applications.datamodeling.ModelerTest | From | To | |
| Rename Variable dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method public _predict(newData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.StepwiseRegressionTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.BayesianEnsembleMethodTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Rename Variable df : DummyXMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Rename Variable dtParams : AbstractTransformer.AbstractTrainingParameters to ceParams : AbstractCategoricalEncoder.AbstractTrainingParameters in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Variable df : DummyXMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.MultinomialNaiveBayesTest | From | To | |
| Rename Variable df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.SupportVectorMachineTest | From | To | |
| Rename Variable dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Variable dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method private initBundle() : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Variable df : XYMinMaxNormalizer to scaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Change Return Type | 1 | ||
| Change Return Type AbstractTransformer.AbstractTrainingParameters to AbstractNumericalScaler.AbstractTrainingParameters in method public getNumericalScalerTrainingParameters() : AbstractNumericalScaler.AbstractTrainingParameters in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Move And Rename Class | 4 | ||
| Move And Rename Class com.datumbox.framework.core.machinelearning.datatransformation.DummyXYMinMaxNormalizer moved and renamed to com.datumbox.framework.core.machinelearning.preprocessing.MinMaxScaler | From | To | |
| Move And Rename Class com.datumbox.framework.core.machinelearning.datatransformation.DummyXMinMaxNormalizer moved and renamed to com.datumbox.framework.core.machinelearning.preprocessing.MinMaxScaler | From | To | |
| Move And Rename Class com.datumbox.framework.core.machinelearning.common.abstracts.datatransformers.AbstractDummyMinMaxTransformer moved and renamed to com.datumbox.framework.core.machinelearning.common.abstracts.transformers.AbstractTransformer | From | To | |
| Move And Rename Class com.datumbox.framework.core.machinelearning.common.abstracts.datatransformers.AbstractTransformer moved and renamed to com.datumbox.framework.core.machinelearning.common.abstracts.transformers.AbstractCategoricalEncoder | From | To | |
| Move Class | 2 | ||
| Move Class com.datumbox.framework.core.machinelearning.datatransformation.DummyXYMinMaxNormalizer.TrainingParameters moved to com.datumbox.framework.core.machinelearning.preprocessing.MinMaxScaler.TrainingParameters | From | To | |
| Move Class com.datumbox.framework.core.machinelearning.datatransformation.DummyXMinMaxNormalizer.TrainingParameters moved to com.datumbox.framework.core.machinelearning.preprocessing.CornerConstraintsEncoder.TrainingParameters | From | To | |
| Rename Attribute | 2 | ||
| Rename Attribute DT_KEY : String to CE_KEY : String in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Rename Attribute dataTransformerTrainingParameters : AbstractTransformer.AbstractTrainingParameters to categoricalEncoderTrainingParameters : AbstractCategoricalEncoder.AbstractTrainingParameters in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Extract Variable | 34 | ||
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.regression.StepwiseRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.regression.StepwiseRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.BayesianEnsembleMethodTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Extract Variable modelParameters : ModelParameters in method protected _fit(trainingData Dataframe) : void from class com.datumbox.framework.core.machinelearning.preprocessing.MinMaxScaler | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.SupportVectorMachineTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.MultinomialNaiveBayesTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.MultinomialNaiveBayesTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.BayesianEnsembleMethodTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testKFoldCrossValidation() : void from class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.classification.SupportVectorMachineTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.BootstrapAggregatingTest | From | To | |
| Extract Variable ceParams : CornerConstraintsEncoder.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.ensemblelearning.BootstrapAggregatingTest | From | To | |
| Extract Variable nsParams : MinMaxScaler.TrainingParameters in method public testPredict() : void from class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Change Variable Type | 23 | ||
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Change Variable Type dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method public _predict(newData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.StepwiseRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.AdaboostTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.clustering.HierarchicalAgglomerativeTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.BayesianEnsembleMethodTest | From | To | |
| Change Variable Type df : DummyXMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Change Variable Type dtParams : AbstractTransformer.AbstractTrainingParameters to ceParams : AbstractCategoricalEncoder.AbstractTrainingParameters in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Change Variable Type df : DummyXMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.OrdinalRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.MultinomialNaiveBayesTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.classification.SupportVectorMachineTest | From | To | |
| Change Variable Type dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method protected _fit(trainingData Dataframe) : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Change Variable Type dataTransformer : AbstractTransformer to categoricalEncoder : AbstractCategoricalEncoder in method private initBundle() : void in class com.datumbox.framework.applications.datamodeling.Modeler | From | To | |
| Change Variable Type df : XYMinMaxNormalizer to scaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.ensemblelearning.BootstrapAggregatingTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.regression.NLMSTest | From | To | |
| Change Variable Type df : XMinMaxNormalizer to scaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.classification.SoftMaxRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testKFoldCrossValidation() : void in class com.datumbox.framework.core.machinelearning.regression.MatrixLinearRegressionTest | From | To | |
| Change Variable Type df : DummyXYMinMaxNormalizer to numericalScaler : MinMaxScaler in method public testPredict() : void in class com.datumbox.framework.core.machinelearning.clustering.KmeansTest | From | To | |
| Change Variable Type dtParams : DummyXMinMaxNormalizer.TrainingParameters to ceParams : CornerConstraintsEncoder.TrainingParameters in method public testTrainAndValidate() : void in class com.datumbox.framework.applications.datamodeling.ModelerTest | From | To | |
| Change Attribute Type | 1 | ||
| Change Attribute Type dataTransformerTrainingParameters : AbstractTransformer.AbstractTrainingParameters to categoricalEncoderTrainingParameters : AbstractCategoricalEncoder.AbstractTrainingParameters in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To | |
| Rename Parameter | 1 | ||
| Rename Parameter dataTransformerTrainingParameters : AbstractTransformer.AbstractTrainingParameters to categoricalEncoderTrainingParameters : AbstractCategoricalEncoder.AbstractTrainingParameters in method public setCategoricalEncoderTrainingParameters(categoricalEncoderTrainingParameters AbstractCategoricalEncoder.AbstractTrainingParameters) : void in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters | From | To |