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trait GBMSupport extends Logging

Support class to create and train GBM

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@Deprecated
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Logging, Serializable, Serializable, Logging, AnyRef, Any
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  4. def GBMModel[T <: Frame](train: T, test: T, response: String, modelId: String = "model", ntrees: Int = 50, depth: Int = 6, family: DistributionFamily = DistributionFamily.AUTO): GBMModel

    Create Gradient Boosting Model for the basic usage.

    Create Gradient Boosting Model for the basic usage. This method exposes the basic configuration of the model. If you need to specify some arguments which are not exposed, please use the DeepLearning model via Sparkling Water pipelines API or using the raw java API

    T

    H2O Frame Type

    train

    frame to train

    test

    test frame

    response

    response column

    modelId

    name of the model

    ntrees

    number of trees

    depth

    depth

    family

    distribution family

    returns

    Gradient Boosting Model

    Annotations
    @DeprecatedMethod( "ai.h2o.sparkling.ml.algos.H2OGBM" , "3.32" )
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  12. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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