Class

ml.combust.mleap.xgboost.runtime

XGBoostPredictorRegressionModel

Related Doc: package runtime

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case class XGBoostPredictorRegressionModel(predictor: Predictor, numFeatures: Int, treeLimit: Int) extends Model with Product with Serializable

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Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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  1. XGBoostPredictorRegressionModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
  7. AnyRef
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Instance Constructors

  1. new XGBoostPredictorRegressionModel(predictor: Predictor, numFeatures: Int, treeLimit: Int)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

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

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  7. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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    AnyRef → Any

  9. def inputSchema: StructType

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    Definition Classes
    XGBoostPredictorRegressionModel → Model

  10. final def isInstanceOf[T0]: Boolean

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    Any

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

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. val numFeatures: Int

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  15. def outputSchema: StructType

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    Definition Classes
    XGBoostPredictorRegressionModel → Model

  16. def predict(data: FVec): Double

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  17. val predictor: Predictor

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

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    Definition Classes
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  19. val treeLimit: Int

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  20. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

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