Class

ml.combust.mleap.core.regression

IsotonicRegressionModel

Related Doc: package regression

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case class IsotonicRegressionModel(boundaries: Array[Double], predictions: Seq[Double], isotonic: Boolean, featureIndex: Option[Int]) extends Model with Product with Serializable

Created by hollinwilkins on 12/27/16.

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  1. IsotonicRegressionModel
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Instance Constructors

  1. new IsotonicRegressionModel(boundaries: Array[Double], predictions: Seq[Double], isotonic: Boolean, featureIndex: Option[Int])

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Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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

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  4. def apply(feature: Double): Double

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  5. def apply(features: Vector): Double

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  6. final def asInstanceOf[T0]: T0

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  7. val boundaries: Array[Double]

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  8. def clone(): AnyRef

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    protected[java.lang]
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  9. final def eq(arg0: AnyRef): Boolean

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  10. val featureIndex: Option[Int]

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  11. def finalize(): Unit

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

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

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  13. def inputSchema: StructType

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    Definition Classes
    IsotonicRegressionModel → Model

  14. final def isInstanceOf[T0]: Boolean

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    Any

  15. val isotonic: Boolean

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

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    Definition Classes
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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def outputSchema: StructType

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    Definition Classes
    IsotonicRegressionModel → Model

  20. val predictions: Seq[Double]

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

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  22. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from Product

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Inherited from Model

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