GradientBoostedTrees

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31. def train(input: JavaRDD[LabeledPoint], boostingStrategy: BoostingStrategy): GradientBoostedTreesModel

    

    Java-friendly API for org.apache.spark.mllib.tree.GradientBoostedTrees$#train

    Java-friendly API for org.apache.spark.mllib.tree.GradientBoostedTrees$#train

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    @Since( "1.2.0" )

32. def train(input: RDD[LabeledPoint], boostingStrategy: BoostingStrategy): GradientBoostedTreesModel

    

    Method to train a gradient boosting model.

    Method to train a gradient boosting model.

    input

    Training dataset: RDD of org.apache.spark.mllib.regression.LabeledPoint. For classification, labels should take values {0, 1, ..., numClasses-1}. For regression, labels are real numbers.

    boostingStrategy

    Configuration options for the boosting algorithm.

    returns

    GradientBoostedTreesModel that can be used for prediction.

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    @Since( "1.2.0" )

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