org.apache.spark.mllib.tree.model

RandomForestModel

class RandomForestModel extends TreeEnsembleModel with Saveable

:: Experimental :: Represents a random forest model.

Annotations
@Experimental()
Linear Supertypes
Saveable, TreeEnsembleModel, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RandomForestModel
  2. Saveable
  3. TreeEnsembleModel
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Instance Constructors

  1. new RandomForestModel(algo: Algo, trees: Array[DecisionTreeModel])

    algo

    algorithm for the ensemble model, either Classification or Regression

    trees

    tree ensembles

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. val algo: Algo

    algorithm for the ensemble model, either Classification or Regression

    algorithm for the ensemble model, either Classification or Regression

    Definition Classes
    RandomForestModel → TreeEnsembleModel
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. val combiningStrategy: EnsembleCombiningStrategy

    Attributes
    protected
    Definition Classes
    TreeEnsembleModel
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. def formatVersion: String

    Current version of model save/load format.

    Current version of model save/load format.

    Attributes
    protected
    Definition Classes
    RandomForestModelSaveable
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  18. final def notify(): Unit

    Definition Classes
    AnyRef
  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  20. def numTrees: Int

    Get number of trees in ensemble.

    Get number of trees in ensemble.

    Definition Classes
    TreeEnsembleModel
  21. def predict(features: JavaRDD[Vector]): JavaRDD[Double]

    Java-friendly version of org.apache.spark.mllib.tree.model.TreeEnsembleModel#predict.

    Java-friendly version of org.apache.spark.mllib.tree.model.TreeEnsembleModel#predict.

    Definition Classes
    TreeEnsembleModel
  22. def predict(features: RDD[Vector]): RDD[Double]

    Predict values for the given data set.

    Predict values for the given data set.

    features

    RDD representing data points to be predicted

    returns

    RDD[Double] where each entry contains the corresponding prediction

    Definition Classes
    TreeEnsembleModel
  23. def predict(features: Vector): Double

    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    features

    array representing a single data point

    returns

    predicted category from the trained model

    Definition Classes
    TreeEnsembleModel
  24. def save(sc: SparkContext, path: String): Unit

    Save this model to the given path.

    Save this model to the given path.

    This saves:

    • human-readable (JSON) model metadata to path/metadata/
    • Parquet formatted data to path/data/

    The model may be loaded using Loader.load.

    sc

    Spark context used to save model data.

    path

    Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.

    Definition Classes
    RandomForestModelSaveable
  25. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  26. def toDebugString: String

    Print the full model to a string.

    Print the full model to a string.

    Definition Classes
    TreeEnsembleModel
  27. def toString(): String

    Print a summary of the model.

    Print a summary of the model.

    Definition Classes
    TreeEnsembleModel → AnyRef → Any
  28. def totalNumNodes: Int

    Get total number of nodes, summed over all trees in the ensemble.

    Get total number of nodes, summed over all trees in the ensemble.

    Definition Classes
    TreeEnsembleModel
  29. val treeWeights: Array[Double]

    Attributes
    protected
    Definition Classes
    TreeEnsembleModel
  30. val trees: Array[DecisionTreeModel]

    tree ensembles

    tree ensembles

    Definition Classes
    RandomForestModel → TreeEnsembleModel
  31. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Saveable

Inherited from TreeEnsembleModel

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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