Class

com.truecar.mleap.core.regression

RandomForestRegression

Related Doc: package regression

Permalink

case class RandomForestRegression(trees: Seq[DecisionTreeRegression], numFeatures: Int) extends TreeEnsemble with Product with Serializable

Created by hwilkins on 11/8/15.

Linear Supertypes
Product, Equals, TreeEnsemble, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. RandomForestRegression
  2. Product
  3. Equals
  4. TreeEnsemble
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show all
Visibility
  1. Public
  2. All

Instance Constructors

  1. new RandomForestRegression(trees: Seq[DecisionTreeRegression], numFeatures: Int)

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

    Permalink
    Definition Classes
    AnyRef → Any
  4. def apply(features: Vector): Double

    Permalink
  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  6. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  8. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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

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

    Permalink
    Definition Classes
    AnyRef
  12. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  13. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  14. val numFeatures: Int

    Permalink
  15. val numTrees: Int

    Permalink
  16. def predict(features: Vector): Double

    Permalink
  17. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  18. val treeWeights: Seq[Double]

    Permalink
    Definition Classes
    RandomForestRegressionTreeEnsemble
  19. val trees: Seq[DecisionTreeRegression]

    Permalink
    Definition Classes
    RandomForestRegressionTreeEnsemble
  20. final def wait(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from TreeEnsemble

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped