Class

ml.combust.mleap.core.regression

LinearRegressionModel

Related Doc: package regression

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case class LinearRegressionModel(coefficients: Vector, intercept: Double) extends Serializable with Product

Class for linear regression model.

coefficients

coefficients for linear regression

intercept

intercept for regression

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Product, Equals, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new LinearRegressionModel(coefficients: Vector, intercept: Double)

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    coefficients

    coefficients for linear regression

    intercept

    intercept for regression

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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    Alias for ml.combust.mleap.core.regression.LinearRegressionModel#predict

    Alias for ml.combust.mleap.core.regression.LinearRegressionModel#predict

    features

    features for prediction

    returns

    prediction

  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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    coefficients for linear regression

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

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  9. def finalize(): Unit

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

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

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  11. val intercept: Double

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    intercept for regression

  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def predict(features: Vector): Double

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    Predict a value using this linear regression.

    Predict a value using this linear regression.

    features

    features for prediction

    returns

    prediction

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

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  18. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Product

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