object GradientBoostedTrees extends Logging with Serializable
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- @Since("1.2.0")
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- GradientBoostedTrees.scala
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- 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")
- 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 version 9)