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Rename Method public learnModels(datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Model<Vector,Double>> renamed to public update(mdlToUpdate GDBTrainer.GDBModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Model<Vector,Double>> in class org.apache.ignite.ml.tree.boosting.GDBOnTreesLearningStrategy |
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Change Parameter Type lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public withLossGradient(loss Loss) : GDBLearningStrategy in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy |
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Change Parameter Type fitter : BiFunction<GDBBinaryClassifierOnTreesTrainer,Map<Integer,double[]>,Model<Vector,Double>> to fitter : BiFunction<GDBTrainer,Map<Integer,double[]>,Model<Vector,Double>> in method private testClassifier(fitter BiFunction<GDBTrainer,Map<Integer,double[]>,Model<Vector,Double>>) : void in class org.apache.ignite.ml.composition.boosting.GDBTrainerTest |
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Change Parameter Type lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public GDBTrainer(gradStepSize double, cntOfIterations Integer, loss Loss) in class org.apache.ignite.ml.composition.boosting.GDBTrainer |
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Change Parameter Type lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public GDBBinaryClassifierTrainer(gradStepSize double, cntOfIterations Integer, loss Loss) in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer |
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Change Return Type void to boolean in method protected learnLabels(builder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lExtractor IgniteBiFunction<K,V,Double>) : boolean in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer |
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Change Return Type void to boolean in method protected abstract learnLabels(builder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lExtractor IgniteBiFunction<K,V,Double>) : boolean in class org.apache.ignite.ml.composition.boosting.GDBTrainer |
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Change Variable Type currComposition : Model<Vector,Double> to currComposition : ModelsComposition in method public update(mdlToUpdate GDBTrainer.GDBModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Model<Vector,Double>> in class org.apache.ignite.ml.tree.boosting.GDBOnTreesLearningStrategy |
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Change Variable Type currComposition : Model<Vector,Double> to currComposition : ModelsComposition in method public update(mdlToUpdate GDBTrainer.GDBModel, datasetBuilder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lbExtractor IgniteBiFunction<K,V,Double>) : List<Model<Vector,Double>> in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy |
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Change Variable Type uniqLabels : List<Double> to lblsArray : ArrayList<Double> in method protected learnLabels(builder DatasetBuilder<K,V>, featureExtractor IgniteBiFunction<K,V,Vector>, lExtractor IgniteBiFunction<K,V,Double>) : boolean in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer |
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Change Variable Type mdl : Model<Vector,Double> to mdl : ModelsComposition in method public main(args String...) : void in class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesClassificationTrainerExample |
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Change Variable Type trainer : DatasetTrainer<ModelsComposition,Double> to trainer : GDBTrainer in method public testFitRegression() : void in class org.apache.ignite.ml.composition.boosting.GDBTrainerTest |
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Rename Parameter lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public withLossGradient(loss Loss) : GDBLearningStrategy in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy |
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Rename Parameter lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public GDBTrainer(gradStepSize double, cntOfIterations Integer, loss Loss) in class org.apache.ignite.ml.composition.boosting.GDBTrainer |
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Rename Parameter lossGradient : IgniteTriFunction<Long,Double,Double,Double> to loss : Loss in method public GDBBinaryClassifierTrainer(gradStepSize double, cntOfIterations Integer, loss Loss) in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer |
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