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Rename Method public testLongly() : void renamed to public longly() : void in class org.apache.ignite.ml.knn.KNNRegressionTest |
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Rename Method public testBinaryClassificationFarPointsWithSimpleStrategy() : void renamed to public binaryClassificationFarPointsWithSimpleStrategy() : void in class org.apache.ignite.ml.knn.KNNClassificationTest |
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Rename Method public testBinaryClassificationFarPointsWithWeightedStrategy() : void renamed to public binaryClassificationFarPointsWithWeightedStrategy() : void in class org.apache.ignite.ml.knn.KNNClassificationTest |
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Rename Method public testSimpleRegressionWithOneNeighbour() : void renamed to public simpleRegressionWithOneNeighbour() : void in class org.apache.ignite.ml.knn.KNNRegressionTest |
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Rename Method public testBinaryClassificationWithSmallestKTest() : void renamed to public binaryClassificationWithSmallestKTest() : void in class org.apache.ignite.ml.knn.KNNClassificationTest |
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Rename Method public testBinaryClassificationTest() : void renamed to public binaryClassificationTest() : void in class org.apache.ignite.ml.knn.KNNClassificationTest |
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Change Parameter Type dataset : Dataset<KNNPartitionContext,LabeledDataset<Double,LabeledVector>> to dataset : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in method public KNNRegressionModel(dataset Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>) in class org.apache.ignite.ml.knn.regression.KNNRegressionModel |
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Change Parameter Type dataset : Dataset<KNNPartitionContext,LabeledDataset<Double,LabeledVector>> to dataset : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in method public KNNClassificationModel(dataset Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>) in class org.apache.ignite.ml.knn.classification.KNNClassificationModel |
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Change Parameter Type dataset : Dataset<SVMPartitionContext,LabeledDataset<Double,LabeledVector>> to dataset : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in method private calculateUpdates(weights Vector, dataset Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>) : Vector in class org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer |
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Change Variable Type partDataBuilder : PartitionDataBuilder<K,V,KNNPartitionContext,LabeledDataset<Double,LabeledVector>> to partDataBuilder : PartitionDataBuilder<K,V,EmptyContext,LabeledDataset<Double,LabeledVector>> in method public buildDataset(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,Double>) : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in class org.apache.ignite.ml.knn.KNNUtils |
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Change Variable Type dataset : Dataset<LabelPartitionContext,LabelPartitionDataOnHeap> to dataset : Dataset<EmptyContext,LabelPartitionDataOnHeap> in method private extractClassLabels(datasetBuilder DatasetBuilder<K,V>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Double> in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer |
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Change Variable Type partDataBuilder : PartitionDataBuilder<K,V,LabelPartitionContext,LabelPartitionDataOnHeap> to partDataBuilder : PartitionDataBuilder<K,V,EmptyContext,LabelPartitionDataOnHeap> in method private extractClassLabels(datasetBuilder DatasetBuilder<K,V>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Double> in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer |
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Change Variable Type dataset : Dataset<KNNPartitionContext,LabeledDataset<Double,LabeledVector>> to dataset : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in method public buildDataset(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,Double>) : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in class org.apache.ignite.ml.knn.KNNUtils |
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Change Variable Type partDataBuilder : PartitionDataBuilder<K,V,SVMPartitionContext,LabeledDataset<Double,LabeledVector>> to partDataBuilder : PartitionDataBuilder<K,V,EmptyContext,LabeledDataset<Double,LabeledVector>> in method public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearBinaryClassificationModel in class org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer |
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Change Variable Type dataset : Dataset<SVMPartitionContext,LabeledDataset<Double,LabeledVector>> to dataset : Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> in method public fit(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,double[]>, lbExtractor IgniteBiFunction<K,V,Double>) : SVMLinearBinaryClassificationModel in class org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer |
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