org.apache.spark.mllib.tree

configuration

package configuration

Visibility
  1. Public
  2. All

Type Members

  1. case class BoostingStrategy(treeStrategy: Strategy, loss: Loss, numIterations: Int = 100, learningRate: Double = 0.1, validationTol: Double = 1.0E-5) extends Serializable with Product

    :: Experimental :: Configuration options for org.apache.spark.mllib.tree.GradientBoostedTrees.

  2. class Strategy extends Serializable

    :: Experimental :: Stores all the configuration options for tree construction

Value Members

  1. object Algo extends Enumeration

    :: Experimental :: Enum to select the algorithm for the decision tree

  2. object BoostingStrategy extends Serializable

    Annotations
    @Experimental()

  3. object FeatureType extends Enumeration

    :: Experimental :: Enum to describe whether a feature is "continuous" or "categorical"

  4. object QuantileStrategy extends Enumeration

    :: Experimental :: Enum for selecting the quantile calculation strategy

  5. object Strategy extends Serializable

    Annotations
    @Experimental()

Ungrouped