Class/Object

ml.combust.mleap.core.regression

GeneralizedLinearRegressionModel

Related Docs: object GeneralizedLinearRegressionModel | package regression

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case class GeneralizedLinearRegressionModel(coefficients: Vector, intercept: Double, fal: FamilyAndLink) extends Model with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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Inherited
  1. GeneralizedLinearRegressionModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new GeneralizedLinearRegressionModel(coefficients: Vector, intercept: Double, fal: FamilyAndLink)

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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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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def apply(features: Vector): Double

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

  7. val coefficients: Vector

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

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    Definition Classes
    AnyRef

  9. val fal: FamilyAndLink

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  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. def inputSchema: StructType

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    Definition Classes
    GeneralizedLinearRegressionModel → Model

  13. val intercept: Double

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  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  16. final def notify(): Unit

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    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  18. def outputSchema: StructType

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    Definition Classes
    GeneralizedLinearRegressionModel → Model

  19. def predict(features: Vector): Double

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  20. def predictLink(features: Vector): Double

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  21. def predictWithLink(features: Vector): (Double, Double)

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

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    Definition Classes
    AnyRef

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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