ae7357ba24518795873174e8c914fc4bdab39986
Files Diff
- Added: 13
- Removed: 7
- Renamed: 0
- Modified: 15
Refactorings reported:
| Refactoring Name | Occurences | ||
|---|---|---|---|
| Rename Method | 1 | ||
| Rename Method public getMax() : double[] renamed to public p() : double in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To | |
| Change Parameter Type | 1 | ||
| Change Parameter Type min : double[] to p : int in method public NormalizationPreprocessor(p int, basePreprocessor IgniteBiFunction<K,V,double[]>) in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To | |
| Move Method | 1 | ||
| Move Method public getMin() : double[] from class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor to public getMin() : double[] from class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor | From | To | |
| Rename Variable | 2 | ||
| Rename Variable standardizationTrainer : NormalizationTrainer<Integer,double[]> to normalizationTrainer : NormalizationTrainer<Integer,double[]> in method public testFit() : void in class org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainerTest | From | To | |
| Rename Variable standardData : double[][] to postProcessedData : double[][] in method public testApply() : void in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessorTest | From | To | |
| Change Return Type | 1 | ||
| Change Return Type double[] to double in method public p() : double in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To | |
| Rename Class | 1 | ||
| Rename Class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerWithNormalizationExample renamed to org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerWithMinMaxScalerExample | From | To | |
| Move And Rename Class | 1 | ||
| Move And Rename Class org.apache.ignite.ml.preprocessing.normalization.NormalizationPartitionData moved and renamed to org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData | From | To | |
| Move Class | 4 | ||
| Move Class org.apache.ignite.ml.preprocessing.imputer.ImputerPartitionData moved to org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData | From | To | |
| Move Class org.apache.ignite.ml.preprocessing.imputer.ImputerTrainer moved to org.apache.ignite.ml.preprocessing.imputing.ImputerTrainer | From | To | |
| Move Class org.apache.ignite.ml.preprocessing.imputer.ImputerPreprocessor moved to org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor | From | To | |
| Move Class org.apache.ignite.ml.preprocessing.imputer.ImputingStrategy moved to org.apache.ignite.ml.preprocessing.imputing.ImputingStrategy | From | To | |
| Rename Attribute | 1 | ||
| Rename Attribute min : double[] to p : int in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To | |
| Change Variable Type | 3 | ||
| Change Variable Type normalizationTrainer : NormalizationTrainer<Integer,double[]> to normalizationTrainer : MinMaxScalerTrainer<Integer,double[]> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.regression.logistic.multiclass.LogRegressionMultiClassClassificationExample | From | To | |
| Change Variable Type normalizationTrainer : NormalizationTrainer<Integer,double[]> to normalizationTrainer : MinMaxScalerTrainer<Integer,double[]> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.svm.multiclass.SVMMultiClassClassificationExample | From | To | |
| Change Variable Type normalizationTrainer : NormalizationTrainer<Integer,double[]> to normalizationTrainer : MinMaxScalerTrainer<Integer,double[]> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerWithMinMaxScalerExample | From | To | |
| Change Package | 1 | ||
| Change Package org.apache.ignite.ml.preprocessing.imputer to org.apache.ignite.ml.preprocessing.imputing | From | To | |
| Change Attribute Type | 1 | ||
| Change Attribute Type min : double[] to p : int in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To | |
| Rename Parameter | 1 | ||
| Rename Parameter min : double[] to p : int in method public NormalizationPreprocessor(p int, basePreprocessor IgniteBiFunction<K,V,double[]>) in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor | From | To |