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Rename Method public checkState(mdl LinearRegressionModel) : boolean renamed to public isUpdateable(mdl LinearRegressionModel) : boolean in class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer |
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Rename Method protected checkState(mdl GaussianNaiveBayesModel) : boolean renamed to public isUpdateable(mdl GaussianNaiveBayesModel) : boolean in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer |
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Rename Method protected checkState(mdl DiscreteNaiveBayesModel) : boolean renamed to public isUpdateable(mdl DiscreteNaiveBayesModel) : boolean in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer |
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Rename Method protected checkState(mdl SVMLinearClassificationModel) : boolean renamed to public isUpdateable(mdl SVMLinearClassificationModel) : boolean in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer |
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Rename Method protected checkState(mdl MultilayerPerceptron) : boolean renamed to public isUpdateable(mdl MultilayerPerceptron) : boolean in class org.apache.ignite.ml.nn.MLPTrainer |
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Rename Method protected checkState(mdl DecisionTreeNode) : boolean renamed to public isUpdateable(mdl DecisionTreeNode) : boolean in class org.apache.ignite.ml.tree.DecisionTree |
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Rename Method protected checkState(mdl LinearRegressionModel) : boolean renamed to public isUpdateable(mdl LinearRegressionModel) : boolean in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer |
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Rename Method protected checkState(mdl IgniteModel<Vector,Double>) : boolean renamed to public isUpdateable(mdl IgniteModel<Vector,Double>) : boolean in class org.apache.ignite.ml.composition.BaggingTest.CountTrainer |
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Rename Method protected checkState(mdl ModelsComposition) : boolean renamed to public isUpdateable(mdl ModelsComposition) : boolean in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer |
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Rename Method protected checkState(mdl MultiClassModel<M>) : boolean renamed to public isUpdateable(mdl MultiClassModel<M>) : boolean in class org.apache.ignite.ml.multiclass.OneVsRestTrainer |
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Rename Method protected checkState(mdl KNNRegressionModel) : boolean renamed to public isUpdateable(mdl KNNRegressionModel) : boolean in class org.apache.ignite.ml.knn.regression.KNNRegressionTrainer |
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Rename Method protected checkState(mdl ModelsComposition) : boolean renamed to public isUpdateable(mdl ModelsComposition) : boolean in class org.apache.ignite.ml.composition.boosting.GDBTrainer |
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Rename Method protected checkState(mdl LogisticRegressionModel) : boolean renamed to public isUpdateable(mdl LogisticRegressionModel) : boolean in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer |
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Rename Method protected checkState(mdl AdaptableDatasetModel<I,O,IW,OW,M>) : boolean renamed to public isUpdateable(mdl AdaptableDatasetModel<I,O,IW,OW,M>) : boolean in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer |
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Rename Method protected checkState(mdl KMeansModel) : boolean renamed to public isUpdateable(mdl KMeansModel) : boolean in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer |
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Rename Method protected checkState(mdl ANNClassificationModel) : boolean renamed to public isUpdateable(mdl ANNClassificationModel) : boolean in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer |
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Rename Method protected checkState(mdl KNNClassificationModel) : boolean renamed to public isUpdateable(mdl KNNClassificationModel) : boolean in class org.apache.ignite.ml.knn.classification.KNNClassificationTrainer |
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Change Parameter Type upstream : Stream<UpstreamEntry<K,V>> to upstream : Stream<UpstreamEntry> in method public transform(upstream Stream<UpstreamEntry>) : Stream<UpstreamEntry> in class org.apache.ignite.ml.dataset.UpstreamTransformer |
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Change Parameter Type transformerBuilder : UpstreamTransformerBuilder<K,V> to transformerBuilder : UpstreamTransformerBuilder in method public CacheBasedDatasetBuilder(ignite Ignite, upstreamCache IgniteCache<K,V>, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder) in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder |
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Change Parameter Type upstreamTransformerBuilder : UpstreamTransformerBuilder<K,V> to upstreamTransformerBuilder : UpstreamTransformerBuilder in method public CacheBasedDataset(ignite Ignite, upstreamCache IgniteCache<K,V>, filter IgniteBiPredicate<K,V>, upstreamTransformerBuilder UpstreamTransformerBuilder, datasetCache IgniteCache<Integer,C>, envBuilder LearningEnvironmentBuilder, partDataBuilder PartitionDataBuilder<K,V,C,D>, datasetId UUID) in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset |
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Change Parameter Type builder : UpstreamTransformerBuilder<K,V> to builder : UpstreamTransformerBuilder in method public withUpstreamTransformer(builder UpstreamTransformerBuilder) : DatasetBuilder<K,V> in class org.apache.ignite.ml.dataset.DatasetBuilder |
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Change Parameter Type upstreamTransformerBuilder : UpstreamTransformerBuilder<Vector,Double> to upstreamTransformerBuilder : UpstreamTransformerBuilder in method public DatasetBuilderAdapter(generator DataStreamGenerator, datasetSize int, filter IgniteBiPredicate<Vector,Double>, partitions int, upstreamTransformerBuilder UpstreamTransformerBuilder) in class org.apache.ignite.ml.util.generators.DatasetBuilderAdapter |
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Change Parameter Type trainer : DatasetTrainer<M,L> to trainer : DatasetTrainer<? extends IgniteModel,L> in method public makeBagged(trainer DatasetTrainer<? extends IgniteModel,L>, ensembleSize int, subsampleRatio double, aggregator PredictionsAggregator) : BaggedTrainer<L> in class org.apache.ignite.ml.trainers.TrainerTransformers |
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Change Parameter Type upstreamTransformerBuilder : UpstreamTransformerBuilder<K,V> to upstreamTransformerBuilder : UpstreamTransformerBuilder in method public LocalDatasetBuilder(upstreamMap Map<K,V>, filter IgniteBiPredicate<K,V>, partitions int, upstreamTransformerBuilder UpstreamTransformerBuilder) in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder |
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Change Parameter Type transformer : UpstreamTransformer<K,V> to transformer : UpstreamTransformer in method private computeCount(cache IgniteCache<K,V>, qry ScanQuery<K,V>, transformer UpstreamTransformer) : long in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Parameter Type other : UpstreamTransformerBuilder<K,V> to other : UpstreamTransformerBuilder in method public andThen(other UpstreamTransformerBuilder) : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Parameter Type upstream : Stream<UpstreamEntry<K,V>> to upstream : Stream<UpstreamEntry> in method public transform(upstream Stream<UpstreamEntry>) : Stream<UpstreamEntry> in class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer |
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Change Parameter Type builder : UpstreamTransformerBuilder<K,V> to builder : UpstreamTransformerBuilder in method public withUpstreamTransformer(builder UpstreamTransformerBuilder) : DatasetBuilder<K,V> in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder |
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Change Parameter Type transformerBuilder : UpstreamTransformerBuilder<K,V> to transformerBuilder : UpstreamTransformerBuilder in method public initContext(ignite Ignite, upstreamCacheName String, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder, datasetCacheName String, ctxBuilder PartitionContextBuilder<K,V,C>, envBuilder LearningEnvironmentBuilder, retries int) : void in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Parameter Type transformerBuilder : UpstreamTransformerBuilder<K,V> to transformerBuilder : UpstreamTransformerBuilder in method public getData(ignite Ignite, upstreamCacheName String, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder, datasetCacheName String, datasetId UUID, partDataBuilder PartitionDataBuilder<K,V,C,D>, env LearningEnvironment) : D in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Parameter Type transformerBuilder : UpstreamTransformerBuilder<K,V> to transformerBuilder : UpstreamTransformerBuilder in method public initContext(ignite Ignite, upstreamCacheName String, transformerBuilder UpstreamTransformerBuilder, filter IgniteBiPredicate<K,V>, datasetCacheName String, ctxBuilder PartitionContextBuilder<K,V,C>, envBuilder LearningEnvironmentBuilder, retries int, interval int) : void in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Parameter Type builder : UpstreamTransformerBuilder<K,V> to builder : UpstreamTransformerBuilder in method public withUpstreamTransformer(builder UpstreamTransformerBuilder) : DatasetBuilder<K,V> in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder |
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Change Parameter Type upstreamTransformerBuilder : UpstreamTransformerBuilder<Vector,Double> to upstreamTransformerBuilder : UpstreamTransformerBuilder in method public asDatasetBuilder(datasetSize int, filter IgniteBiPredicate<Vector,Double>, partitions int, upstreamTransformerBuilder UpstreamTransformerBuilder) : DatasetBuilder<Vector,Double> in class org.apache.ignite.ml.util.generators.DataStreamGenerator |
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Change Return Type UpstreamTransformerBuilder<K,V> to UpstreamTransformerBuilder in method public andThen(other UpstreamTransformerBuilder) : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Return Type UpstreamTransformer<K,V> to UpstreamTransformer in method public build(env LearningEnvironment) : UpstreamTransformer in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Return Type UpstreamTransformerBuilder<K,V> to UpstreamTransformerBuilder in method public identity() : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Return Type Stream<UpstreamEntry<K,V>> to Stream<UpstreamEntry> in method public transform(upstream Stream<UpstreamEntry>) : Stream<UpstreamEntry> in class org.apache.ignite.ml.dataset.UpstreamTransformer |
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Change Return Type IgniteBiFunction<K,V,Vector> to IgniteBiFunction<List<IgniteModel<IS,IA>>,Vector,Vector> in method private getFeatureExtractorForAggregator(submodelOutput2VectorConverter IgniteFunction<IA,Vector>, vector2SubmodelInputConverter IgniteFunction<Vector,IS>) : IgniteBiFunction<List<IgniteModel<IS,IA>>,Vector,Vector> in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer |
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Change Return Type Stream<UpstreamEntry<K,V>> to Stream<UpstreamEntry> in method public transform(upstream Stream<UpstreamEntry>) : Stream<UpstreamEntry> in class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer |
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Change Return Type DatasetTrainer<ModelsComposition,L> to BaggedTrainer<L> in method public makeBagged(trainer DatasetTrainer<M,L>, ensembleSize int, subsampleRatio double, featureVectorSize int, featuresSubspaceDim int, aggregator PredictionsAggregator) : BaggedTrainer<L> in class org.apache.ignite.ml.trainers.TrainerTransformers |
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Change Return Type UpstreamTransformerBuilder<K,V> to UpstreamTransformerBuilder in method public builder(subsampleRatio double, mdlIdx int) : UpstreamTransformerBuilder in class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer |
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Change Return Type DatasetTrainer<ModelsComposition,L> to BaggedTrainer<L> in method public makeBagged(trainer DatasetTrainer<? extends IgniteModel,L>, ensembleSize int, subsampleRatio double, aggregator PredictionsAggregator) : BaggedTrainer<L> in class org.apache.ignite.ml.trainers.TrainerTransformers |
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Change Variable Type transformer2 : UpstreamTransformer<K,V> to transformer2 : UpstreamTransformer in method public build(envBuilder LearningEnvironmentBuilder, partCtxBuilder PartitionContextBuilder<K,V,C>, partDataBuilder PartitionDataBuilder<K,V,C,D>) : LocalDataset<C,D> in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder |
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Change Variable Type transformer2 : UpstreamTransformer<K,V> to transformer2 : UpstreamTransformer in method public andThen(other UpstreamTransformerBuilder) : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Variable Type transformedStream : Stream<UpstreamEntry<K,V>> to transformedStream : Stream<UpstreamEntry> in method public initContext(ignite Ignite, upstreamCacheName String, transformerBuilder UpstreamTransformerBuilder, filter IgniteBiPredicate<K,V>, datasetCacheName String, ctxBuilder PartitionContextBuilder<K,V,C>, envBuilder LearningEnvironmentBuilder, retries int, interval int) : void in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type transformerCp : UpstreamTransformer<K,V> to transformerCp : UpstreamTransformer in method public getData(ignite Ignite, upstreamCacheName String, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder, datasetCacheName String, datasetId UUID, partDataBuilder PartitionDataBuilder<K,V,C,D>, env LearningEnvironment) : D in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type baggedTrainer : DatasetTrainer<ModelsComposition,Double> to baggedTrainer : BaggedTrainer<Double> in method public main(args String[]) : void in class org.apache.ignite.examples.ml.regression.logistic.bagged.BaggedLogisticRegressionSGDTrainerExample |
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Change Variable Type transformer3 : UpstreamTransformer<K,V> to transformer3 : UpstreamTransformer in method public build(envBuilder LearningEnvironmentBuilder, partCtxBuilder PartitionContextBuilder<K,V,C>, partDataBuilder PartitionDataBuilder<K,V,C,D>) : LocalDataset<C,D> in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder |
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Change Variable Type baggedTrainer : DatasetTrainer<ModelsComposition,Double> to baggedTrainer : BaggedTrainer<Double> in method public testNaiveBaggingLogRegression() : void in class org.apache.ignite.ml.composition.BaggingTest |
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Change Variable Type mdl : ModelsComposition to mdl : BaggedModel in method public testNaiveBaggingLogRegression() : void in class org.apache.ignite.ml.composition.BaggingTest |
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Change Variable Type transformedStream : Stream<UpstreamEntry<K,V>> to transformedStream : Stream<UpstreamEntry> in method public getData(ignite Ignite, upstreamCacheName String, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder, datasetCacheName String, datasetId UUID, partDataBuilder PartitionDataBuilder<K,V,C,D>, env LearningEnvironment) : D in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type transformer : UpstreamTransformer<K,V> to transformer : UpstreamTransformer in method public initContext(ignite Ignite, upstreamCacheName String, transformerBuilder UpstreamTransformerBuilder, filter IgniteBiPredicate<K,V>, datasetCacheName String, ctxBuilder PartitionContextBuilder<K,V,C>, envBuilder LearningEnvironmentBuilder, retries int, interval int) : void in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type mdl : ModelsComposition to mdl : BaggedModel in method protected count(cntr IgniteTriFunction<Long,CountData,LearningEnvironment,Long>) : void in class org.apache.ignite.ml.composition.BaggingTest |
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Change Variable Type self : UpstreamTransformerBuilder<K,V> to self : UpstreamTransformerBuilder in method public andThen(other UpstreamTransformerBuilder) : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Variable Type transformerCp : UpstreamTransformer<K,V> to transformerCp : UpstreamTransformer in method public initContext(ignite Ignite, upstreamCacheName String, transformerBuilder UpstreamTransformerBuilder, filter IgniteBiPredicate<K,V>, datasetCacheName String, ctxBuilder PartitionContextBuilder<K,V,C>, envBuilder LearningEnvironmentBuilder, retries int, interval int) : void in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type transformer1 : UpstreamTransformer<K,V> to transformer1 : UpstreamTransformer in method public andThen(other UpstreamTransformerBuilder) : UpstreamTransformerBuilder in class org.apache.ignite.ml.dataset.UpstreamTransformerBuilder |
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Change Variable Type transformer1 : UpstreamTransformer<K,V> to transformer1 : UpstreamTransformer in method public build(envBuilder LearningEnvironmentBuilder, partCtxBuilder PartitionContextBuilder<K,V,C>, partDataBuilder PartitionDataBuilder<K,V,C,D>) : LocalDataset<C,D> in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder |
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Change Variable Type transformer : UpstreamTransformer<K,V> to transformer : UpstreamTransformer in method public getData(ignite Ignite, upstreamCacheName String, filter IgniteBiPredicate<K,V>, transformerBuilder UpstreamTransformerBuilder, datasetCacheName String, datasetId UUID, partDataBuilder PartitionDataBuilder<K,V,C,D>, env LearningEnvironment) : D in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils |
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Change Variable Type res : List<IgniteSupplier<IgniteModel<IS,IA>>> to subs : List<DatasetTrainer<IgniteModel<IS,IA>,L>> in method private getTrainer() : DatasetTrainer<IgniteModel<IS,O>,L> in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer |
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