Class/Object

ml.combust.mleap.core.classification

GBTClassifierModel

Related Docs: object GBTClassifierModel | package classification

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case class GBTClassifierModel(trees: Seq[DecisionTreeRegressionModel], treeWeights: Seq[Double], numFeatures: Int) extends TreeEnsemble with Serializable with Product

Class for a gradient boost classifier model.

trees

trees in the gradient boost model

treeWeights

weights of each tree

numFeatures

number of features

Linear Supertypes
Product, Equals, Serializable, Serializable, TreeEnsemble, AnyRef, Any
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Inherited
  1. GBTClassifierModel
  2. Product
  3. Equals
  4. Serializable
  5. Serializable
  6. TreeEnsemble
  7. AnyRef
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Instance Constructors

  1. new GBTClassifierModel(trees: Seq[DecisionTreeRegressionModel], treeWeights: Seq[Double], numFeatures: Int)

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    trees

    trees in the gradient boost model

    treeWeights

    weights of each tree

    numFeatures

    number of features

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def apply(features: Vector): Double

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  11. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  12. final def notify(): Unit

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    Definition Classes
    AnyRef

  13. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  14. val numFeatures: Int

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    number of features

  15. def numTrees: Int

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    Number of trees in the ensemble

    Number of trees in the ensemble

    Definition Classes
    TreeEnsemble

  16. def predictProbability(features: Vector): Double

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

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    Definition Classes
    AnyRef

  18. val treeWeights: Seq[Double]

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    weights of each tree

    weights of each tree

    Definition Classes
    GBTClassifierModel → TreeEnsemble

  19. val trees: Seq[DecisionTreeRegressionModel]

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    trees in the gradient boost model

    trees in the gradient boost model

    Definition Classes
    GBTClassifierModel → TreeEnsemble

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from Serializable

Inherited from Serializable

Inherited from TreeEnsemble

Inherited from AnyRef

Inherited from Any

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