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Rename Method public getK() : int renamed to public getAmountOfClusters() : int in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer |
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Rename Method public lambda() : double renamed to public getLambda() : double in class org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer |
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Rename Method public amountOfLocIterations() : int renamed to public getAmountOfLocIterations() : int in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer |
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Rename Method public centers() : Vector[] renamed to public getCenters() : Vector[] in class org.apache.ignite.ml.clustering.kmeans.KMeansModel |
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Rename Method public getParamValuesByParamIndex() : Map<Integer,Double[]> renamed to public getParamValuesByParamIdx() : Map<Integer,Double[]> in class org.apache.ignite.ml.selection.paramgrid.ParamGrid |
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Rename Method public updatesStgy() : UpdatesStrategy<? super MultilayerPerceptron,P> renamed to public getUpdatesStgy() : UpdatesStrategy<? super MultilayerPerceptron,P> in class org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassTrainer |
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Rename Method public amountOfIterations() : int renamed to public getAmountOfIterations() : int in class org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassTrainer |
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Rename Method public threshold() : double renamed to public getThreshold() : double in class org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer |
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Rename Method public withUseIndex(useIndex boolean) : DecisionTreeRegressionTrainer renamed to public withUsingIdx(usingIdx boolean) : DecisionTreeRegressionTrainer in class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer |
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Rename Method public amountOfClusters() : int renamed to public getAmountOfClusters() : int in class org.apache.ignite.ml.clustering.kmeans.ClusterizationModel |
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Rename Method public amountOfIterations() : int renamed to public getAmountOfIterations() : int in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer |
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Rename Method public withK(k int) : KMeansTrainer renamed to public withAmountOfClusters(k int) : KMeansTrainer in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer |
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Rename Method public amountOfLocIterations() : int renamed to public getAmountOfLocIterations() : int in class org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassTrainer |
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Rename Method public withSubsampleSize(subsampleSize double) : T renamed to public withSubSampleSize(subSampleSize double) : T in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer |
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Rename Method public amountOfClusters() : int renamed to public getAmountOfClusters() : int in class org.apache.ignite.ml.clustering.kmeans.KMeansModel |
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Rename Method public batchSize() : double renamed to public getBatchSize() : double in class org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassTrainer |
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Rename Method public lambda() : double renamed to public getLambda() : double in class org.apache.ignite.ml.svm.SVMLinearMultiClassClassificationTrainer |
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Rename Method public withUseIndex(useIndex boolean) : GDBBinaryClassifierOnTreesTrainer renamed to public withUsingIdx(usingIdx boolean) : GDBBinaryClassifierOnTreesTrainer in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer |
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Rename Method public withUseIndex(useIndex boolean) : GDBRegressionOnTreesTrainer renamed to public withUsingIdx(usingIdx boolean) : GDBRegressionOnTreesTrainer in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer |
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Rename Method public threshold() : double renamed to public getThreshold() : double in class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor |
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Rename Attribute paramValuesByParamIndex : Map<Integer,Double[]> to paramValuesByParamIdx : Map<Integer,Double[]> in class org.apache.ignite.ml.selection.paramgrid.ParamGrid |
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Rename Attribute useIndex : boolean to usingIdx : boolean in class org.apache.ignite.ml.tree.DecisionTree |
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Rename Attribute useIndex : boolean to usingIdx : boolean in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer |
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Rename Attribute subsampleSize : double to subSampleSize : double in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer |
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Rename Attribute useIndex : boolean to usingIdx : boolean in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer |
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Rename Attribute paramNamesByParamIndex : Map<Integer,String> to paramNamesByParamIdx : Map<Integer,String> in class org.apache.ignite.ml.selection.paramgrid.ParamGrid |
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Rename Parameter useIndex : boolean to usingIdx : boolean in method public withUsingIdx(usingIdx boolean) : DecisionTreeRegressionTrainer in class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer |
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Rename Parameter useIndex : boolean to usingIdx : boolean in method public withUsingIdx(usingIdx boolean) : GDBRegressionOnTreesTrainer in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer |
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Rename Parameter mdl : LogRegressionMultiClassModel to newMdl : LogRegressionMultiClassModel in method public updateModel(newMdl LogRegressionMultiClassModel, 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 |
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Rename Parameter useIndex : boolean to usingIdx : boolean in method public withUsingIdx(usingIdx boolean) : GDBBinaryClassifierOnTreesTrainer in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer |
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Rename Parameter subsampleSize : double to subSampleSize : double in method public withSubSampleSize(subSampleSize double) : T in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer |
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