Class

ml.combust.mleap.core.regression

AFTSurvivalRegressionModel

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case class AFTSurvivalRegressionModel(coefficients: Vector, intercept: Double, quantileProbabilities: Array[Double], scale: Double) extends Model with Product with Serializable

Created by hollinwilkins on 12/28/16.

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  1. AFTSurvivalRegressionModel
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Instance Constructors

  1. new AFTSurvivalRegressionModel(coefficients: Vector, intercept: Double, quantileProbabilities: Array[Double], scale: Double)

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Value Members

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

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  2. final def ##(): Int

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

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  4. def apply(features: Vector): Double

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. val coefficients: Vector

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

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  9. def finalize(): Unit

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

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  11. def inputSchema: StructType

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    AFTSurvivalRegressionModel → Model

  12. val intercept: Double

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def outputSchema: StructType

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    AFTSurvivalRegressionModel → Model

  18. def predict(features: Vector): Double

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  19. def predictQuantiles(features: Vector): Vector

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  20. def predictWithQuantiles(features: Vector): (Double, Vector)

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  21. val quantileProbabilities: Array[Double]

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  22. val scale: Double

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

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  24. final def wait(): Unit

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

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

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Inherited from Serializable

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