com.truecar.mleap.core.regression

LinearRegression

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

Created by hwilkins on 11/5/15.

Linear Supertypes
Product, Equals, Serializable, Serializable, AnyRef, Any
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  2. Product
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Instance Constructors

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

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
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  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

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  6. def apply(features: Vector): Double

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

  9. val coefficients: Vector

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

    Definition Classes
    AnyRef

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. val intercept: Double

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
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  17. final def notifyAll(): Unit

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

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  19. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Product

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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