Object/Class

org.apache.spark.mllib.tree

GradientBoostedTrees

Related Docs: class GradientBoostedTrees | package tree

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object GradientBoostedTrees extends Logging with Serializable

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@Since( "1.2.0" )
Source
GradientBoostedTrees.scala
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  12. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  15. def log: Logger

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  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  17. def logDebug(msg: ⇒ String): Unit

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  31. def toString(): String

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

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

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    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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