nd4j 3d961ff4be1640445df6a44509d950435a235c46

3d961ff4be1640445df6a44509d950435a235c46

Files Diff

Added: 16
Removed: 2
Renamed: 0
Modified: 11

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Dependency Action

Refactorings reported:

Refactoring Name	Occurences
Pull Up Method	37
Pull Up Method public revert(data DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public revert(data DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fit(iterator DataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public fit(iterator DataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public transform(theFeatures INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public transform(theFeatures INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public revertLabels(labels INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public revertLabels(labels INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public revertFeatures(features INDArray[]) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public revertFeatures(features INDArray[]) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revertFeatures(features INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public revertFeatures(features INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public transform(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public transform(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fit(dataSet DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public fit(dataSet DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public transform(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public transform(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fit(iterator MultiDataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public fit(iterator MultiDataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public fit(iterator DataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public fit(iterator DataSetIterator) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public fitLabel(fitLabels boolean) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public revertLabels(labels INDArray, output int) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public revertLabels(labels INDArray, output int) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revertPreProcess(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public revert(data DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revertFeatures(features INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public revertFeatures(features INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public revert(data MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public revert(data MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revert(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public revert(data DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method protected isFit() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to protected isFit() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public numOutputs() : int from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public numOutputs() : int from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public preProcess(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public preProcess(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public fit(dataSet MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public fit(dataSet MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public transformLabel(labels INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public transformLabel(label INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public transformLabel(label INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public transformLabel(label INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method protected isFit() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to protected isFit() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public numInputs() : int from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public numInputs() : int from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public fit(dataSet DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public fit(dataSet DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public transform(theFeatures INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public transform(theFeatures INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to public isFitLabel() : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public preProcess(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public preProcess(toPreProcess DataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public preProcess(toPreProcess MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public preProcess(toPreProcess MultiDataSet) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revertLabels(labels INDArray[]) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public revertLabels(labels INDArray[]) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Method public revertLabels(labels INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to public revertLabels(labels INDArray) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Method public revertFeatures(features INDArray, input int) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to public revertFeatures(features INDArray, input int) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Change Parameter Type	3
Change Parameter Type featureStatsBuilders : List<DistributionStats.Builder> to featureStatsBuilders : List<S.Builder> in method private fitPartial(dataSet MultiDataSet, featureStatsBuilders List<S.Builder>, labelStatsBuilders List<S.Builder>) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Change Parameter Type labelStatsBuilders : List<DistributionStats.Builder> to labelStatsBuilders : List<S.Builder> in method private fitPartial(dataSet MultiDataSet, featureStatsBuilders List<S.Builder>, labelStatsBuilders List<S.Builder>) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Change Parameter Type builders : List<Builder> to builders : List<S.Builder> in method private buildList(builders List<S.Builder>) : List<S> in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Move Method	2
Move Method public buildList(builders List<Builder>) : List<DistributionStats> from class org.nd4j.linalg.dataset.DistributionStats.Builder to private buildList(builders List<S.Builder>) : List<S> from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Move Method private fitPartial(dataSet MultiDataSet, featureStatsBuilders List<DistributionStats.Builder>, labelStatsBuilders List<DistributionStats.Builder>) : void from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to private fitPartial(dataSet MultiDataSet, featureStatsBuilders List<S.Builder>, labelStatsBuilders List<S.Builder>) : void from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Change Return Type	1
Change Return Type List<DistributionStats> to List<S> in method private buildList(builders List<S.Builder>) : List<S> in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Attribute	3
Pull Up Attribute private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Pull Up Attribute private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize to private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Pull Up Attribute private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize to private fitLabels : boolean from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Move Attribute	2
Move Attribute private minRange : double from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to private minRange : double from class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy	From	To
Move Attribute private maxRange : double from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler to private maxRange : double from class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy	From	To
Extract Class	2
Extract Class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer from class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize	From	To
Extract Class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer from class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize	From	To
Rename Class	1
Rename Class org.nd4j.linalg.indexing.ScalarBooleanTests renamed to org.nd4j.linalg.indexing.TransformsTest	From	To
Extract Superclass	2
Extract Superclass org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer from classes [org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler, org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize]	From	To
Extract Superclass org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer from classes [org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize]	From	To
Extract Interface	1
Extract Interface org.nd4j.linalg.dataset.NormalizerStats from classes [org.nd4j.linalg.dataset.DistributionStats]	From	To
Extract Method	5
Extract Method public transform(theFeatures INDArray) : void extracted from public preProcess(toPreProcess DataSet) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Extract Method package getFeatureStats(input int) : S extracted from public preProcess(toPreProcess MultiDataSet) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Extract Method package getFeatureStats() : List<S> extracted from public numInputs() : int in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Extract Method public transformLabel(label INDArray) : void extracted from public preProcess(toPreProcess DataSet) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Extract Method package getLabelStats() : List<S> extracted from public numOutputs() : int in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer	From	To
Rename Parameter	3
Rename Parameter toPreProcess : DataSet to data : DataSet in method public revert(data DataSet) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To
Rename Parameter labels : INDArray to label : INDArray in method public transformLabel(label INDArray) : void in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer	From	To

3d961ff4be1640445df6a44509d950435a235c46

Files Diff

Link to commit

Third party dependencies:

Refactorings reported: