ignite f4c18f114a435ab818e5c9b179e4854df611dd74

f4c18f114a435ab818e5c9b179e4854df611dd74

Files Diff

Added: 1
Removed: 0
Renamed: 0
Modified: 45

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Dependency Action

Refactorings reported:

Refactoring Name	Occurences
Change Parameter Type	3
Change Parameter Type centers : Vector[] to centers : List<Vector> in method private findClosestCentroid(centers List<Vector>, pnt LabeledVector) : IgniteBiTuple<Integer,Double> in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer	From	To
Change Parameter Type centers : Vector[] to centers : List<Vector> in method private buildLabelsForCandidates(centers List<Vector>, centroidStat CentroidStat) : LabeledVectorSet<ProbableLabel,LabeledVector> in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer	From	To
Change Parameter Type centers : Vector[] to centers : List<Vector> in method private getCentroidStat(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>, centers List<Vector>) : CentroidStat in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer	From	To
Change Return Type	5
Change Return Type Vector[] to List<Vector> in method private getCentroids(featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>, datasetBuilder DatasetBuilder<K,V>) : List<Vector> in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer	From	To
Change Return Type Model<Vector,Double> to ModelsComposition in method public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : ModelsComposition in class org.apache.ignite.ml.composition.boosting.GDBTrainer	From	To
Change Return Type int to Integer in method protected getColumns() : Integer in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap	From	To
Change Return Type void to boolean in method protected init(dataset Dataset<EmptyContext,BootstrappedDatasetPartition>) : boolean in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer	From	To
Change Return Type int to Integer in method protected abstract getColumns() : Integer in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR	From	To
Extract Variable	2
Extract Variable x0 : double[] in method protected updateModel(mdl LinearRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LinearRegressionModel from class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer	From	To
Extract Variable lbExtractorWrapper : IgniteBiFunction<K,V,double[]> in method protected updateModel(mdl LogisticRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LogisticRegressionModel from class org.apache.ignite.ml.regressions.logistic.binomial.LogisticRegressionSGDTrainer	From	To
Change Variable Type	5
Change Variable Type trainer : DatasetTrainer<Model<Vector,Double>,Double> to trainer : DatasetTrainer<ModelsComposition,Double> in method public main(args String...) : void in class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesClassificationTrainerExample	From	To
Change Variable Type trainer : DatasetTrainer<Model<Vector,Double>,Double> to trainer : DatasetTrainer<ModelsComposition,Double> in method public testFitRegression() : void in class org.apache.ignite.ml.composition.boosting.GDBTrainerTest	From	To
Change Variable Type trainer : DatasetTrainer<Model<Vector,Double>,Double> to trainer : DatasetTrainer<ModelsComposition,Double> in method public main(args String...) : void in class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesRegressionTrainerExample	From	To
Change Variable Type n : int to n : Integer in method public solve(damp double, atol double, btol double, conlim double, iterLim double, calcVar boolean, x0 double[]) : LSQRResult in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR	From	To
Change Variable Type cols : int to cols : Integer in method protected updateModel(mdl KMeansModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KMeansModel in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer	From	To
Extract Method	12
Extract Method public updateModel(mdl KNNRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KNNRegressionModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KNNRegressionModel in class org.apache.ignite.ml.knn.regression.KNNRegressionTrainer	From	To
Extract Method public updateModel(mdl SVMLinearMultiClassClassificationModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearMultiClassClassificationModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearMultiClassClassificationModel in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer	From	To
Extract Method public updateModel(mdl KNNClassificationModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KNNClassificationModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KNNClassificationModel in class org.apache.ignite.ml.knn.classification.KNNClassificationTrainer	From	To
Extract Method protected updateModel(mdl LogisticRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LogisticRegressionModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LogisticRegressionModel in class org.apache.ignite.ml.regressions.logistic.binomial.LogisticRegressionSGDTrainer	From	To
Extract Method protected updateModel(mdl LinearRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LinearRegressionModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LinearRegressionModel in class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer	From	To
Extract Method private createAndCheckTrainer() : KMeansTrainer extracted from public findOneClusters() : void in class org.apache.ignite.ml.clustering.KMeansTrainerTest	From	To
Extract Method protected updateModel(mdl KMeansModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KMeansModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : KMeansModel in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer	From	To
Extract Method protected updateModel(mdl LinearRegressionModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LinearRegressionModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LinearRegressionModel in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer	From	To
Extract Method protected updateModel(mdl SVMLinearBinaryClassificationModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearBinaryClassificationModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearBinaryClassificationModel in class org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer	From	To
Extract Method public updateModel(mdl LogRegressionMultiClassModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LogRegressionMultiClassModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : LogRegressionMultiClassModel in class org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassTrainer	From	To
Extract Method protected updateModel(lastLearnedModel MultilayerPerceptron, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,double[]>) : MultilayerPerceptron extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,double[]>) : MultilayerPerceptron in class org.apache.ignite.ml.nn.MLPTrainer	From	To
Extract Method protected updateModel(mdl ANNClassificationModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : ANNClassificationModel extracted from public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : ANNClassificationModel in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer	From	To

f4c18f114a435ab818e5c9b179e4854df611dd74

Files Diff

Link to commit

Third party dependencies:

Refactorings reported: