org.apache.spark.mllib.tree.configuration

BoostingStrategy

object BoostingStrategy extends Serializable

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@Experimental()
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  8. def defaultParams(algo: Algo.Algo): BoostingStrategy

    Returns default configuration for the boosting algorithm

    Returns default configuration for the boosting algorithm

    algo

    Learning goal. Supported: org.apache.spark.mllib.tree.configuration.Algo.Classification, org.apache.spark.mllib.tree.configuration.Algo.Regression

    returns

    Configuration for boosting algorithm

  9. def defaultParams(algo: String): BoostingStrategy

    Returns default configuration for the boosting algorithm

    Returns default configuration for the boosting algorithm

    algo

    Learning goal. Supported: "Classification" or "Regression"

    returns

    Configuration for boosting algorithm

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