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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, ignite Ignite, upstreamCache IgniteCache<K,V>, filter IgniteBiPredicate<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type iter : Iterator<TruthWithPrediction<L>> to iter : Iterator<LabelPair<L>> in method public score(iter Iterator<LabelPair<L>>) : double in class org.apache.ignite.ml.selection.scoring.metric.Metric |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, ignite Ignite, upstreamCache IgniteCache<K,V>, filter IgniteBiPredicate<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, mapper UniformMapper<K,V>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type iter : Iterator<TruthWithPrediction<L>> to iter : Iterator<LabelPair<L>> in method public score(iter Iterator<LabelPair<L>>) : double in class org.apache.ignite.ml.selection.scoring.metric.Accuracy |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, upstreamMap Map<K,V>, parts int, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type testDataIterSupplier : BiFunction<IgniteBiPredicate<K,V>,M,TruthWithPredictionCursor<L>> to testDataIterSupplier : BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>> in method private score(trainer DatasetTrainer<M,L>, datasetBuilderSupplier Function<IgniteBiPredicate<K,V>,DatasetBuilder<K,V>>, testDataIterSupplier BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, scoreCalculator Metric<L>, mapper UniformMapper<K,V>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, upstreamMap Map<K,V>, filter IgniteBiPredicate<K,V>, parts int, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, mapper UniformMapper<K,V>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, ignite Ignite, upstreamCache IgniteCache<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method public score(trainer DatasetTrainer<M,L>, scoreCalculator Metric<L>, upstreamMap Map<K,V>, filter IgniteBiPredicate<K,V>, parts int, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Parameter Type scoreCalculator : ScoreCalculator<L> to scoreCalculator : Metric<L> in method private score(trainer DatasetTrainer<M,L>, datasetBuilderSupplier Function<IgniteBiPredicate<K,V>,DatasetBuilder<K,V>>, testDataIterSupplier BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, scoreCalculator Metric<L>, mapper UniformMapper<K,V>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Move And Rename Class org.apache.ignite.ml.selection.score.TestTruthWithPredictionCursor moved and renamed to org.apache.ignite.ml.selection.scoring.TestLabelPairCursor |
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Move And Rename Class org.apache.ignite.ml.selection.score.ScoreCalculator moved and renamed to org.apache.ignite.ml.selection.scoring.metric.Metric |
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Move And Rename Class org.apache.ignite.ml.selection.score.util.TruthWithPredictionCursor moved and renamed to org.apache.ignite.ml.selection.scoring.cursor.LabelPairCursor |
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Move And Rename Class org.apache.ignite.ml.selection.score.TruthWithPrediction moved and renamed to org.apache.ignite.ml.selection.scoring.LabelPair |
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Move And Rename Class org.apache.ignite.ml.selection.score.util.CacheBasedTruthWithPredictionCursor moved and renamed to org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor |
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Move And Rename Class org.apache.ignite.ml.selection.score.util.LocalTruthWithPredictionCursorTest moved and renamed to org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursorTest |
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Move And Rename Class org.apache.ignite.ml.selection.score.AccuracyScoreCalculatorTest moved and renamed to org.apache.ignite.ml.selection.scoring.metric.AccuracyTest |
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Move And Rename Class org.apache.ignite.ml.selection.score.AccuracyScoreCalculator moved and renamed to org.apache.ignite.ml.selection.scoring.metric.Accuracy |
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Move And Rename Class org.apache.ignite.ml.selection.score.util.CacheBasedTruthWithPredictionCursorTest moved and renamed to org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursorTest |
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Move And Rename Class org.apache.ignite.ml.selection.score.util.LocalTruthWithPredictionCursor moved and renamed to org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursor |
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Change Variable Type cursor : TruthWithPredictionCursor<Integer> to cursor : LabelPairCursor<Integer> in method public testIterate() : void in class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursorTest |
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Change Variable Type cursor : TruthWithPredictionCursor<Integer> to cursor : LabelPairCursor<Integer> in method public testIterate() : void in class org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursorTest |
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Change Variable Type scoreCalculator : CrossValidationScoreCalculator<DecisionTreeNode,Double,Integer,Double> to scoreCalculator : CrossValidation<DecisionTreeNode,Double,Integer,Double> in method public testScoreWithBadDataset() : void in class org.apache.ignite.ml.selection.cv.CrossValidationTest |
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Change Variable Type scoreCalculator : ScoreCalculator<Integer> to scoreCalculator : Metric<Integer> in method public testScore() : void in class org.apache.ignite.ml.selection.scoring.metric.AccuracyTest |
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Change Variable Type e : TruthWithPrediction<Integer> to e : LabelPair<Integer> in method public testIterate() : void in class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursorTest |
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Change Variable Type scoreCalculator : CrossValidationScoreCalculator<LogisticRegressionModel,Double,Integer,Object[]> to scoreCalculator : CrossValidation<LogisticRegressionModel,Double,Integer,Object[]> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.tutorial.Step_9_Go_to_LogReg |
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Change Variable Type cursor : TruthWithPredictionCursor<Integer> to cursor : LabelPairCursor<Integer> in method public testScore() : void in class org.apache.ignite.ml.selection.scoring.metric.AccuracyTest |
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Change Variable Type cursor : TruthWithPredictionCursor<L> to cursor : LabelPairCursor<L> in method private score(trainer DatasetTrainer<M,L>, datasetBuilderSupplier Function<IgniteBiPredicate<K,V>,DatasetBuilder<K,V>>, testDataIterSupplier BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,L>, scoreCalculator Metric<L>, mapper UniformMapper<K,V>, cv int) : double[] in class org.apache.ignite.ml.selection.cv.CrossValidation |
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Change Variable Type scoreCalculator : CrossValidationScoreCalculator<DecisionTreeNode,Double,Integer,LabeledPoint> to scoreCalculator : CrossValidation<DecisionTreeNode,Double,Integer,LabeledPoint> in method public main(args String...) : void in class org.apache.ignite.examples.ml.selection.cv.CrossValidationExample |
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Change Variable Type e : TruthWithPrediction<Integer> to e : LabelPair<Integer> in method public testIterate() : void in class org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursorTest |
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Change Variable Type e : TruthWithPrediction<L> to e : LabelPair<L> in method public score(iter Iterator<LabelPair<L>>) : double in class org.apache.ignite.ml.selection.scoring.metric.Accuracy |
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Change Variable Type scoreCalculator : CrossValidationScoreCalculator<DecisionTreeNode,Double,Integer,Double> to scoreCalculator : CrossValidation<DecisionTreeNode,Double,Integer,Double> in method public testScoreWithGoodDataset() : void in class org.apache.ignite.ml.selection.cv.CrossValidationTest |
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Change Variable Type scoreCalculator : CrossValidationScoreCalculator<DecisionTreeNode,Double,Integer,Object[]> to scoreCalculator : CrossValidation<DecisionTreeNode,Double,Integer,Object[]> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.tutorial.Step_8_CV |
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