Class

org.incal.spark_ml.models.regression

GeneralizedLinearRegression

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case class GeneralizedLinearRegression(_id: Option[BSONObjectID] = None, regularization: ValueOrSeq[Double] = Left(None), link: Option[GeneralizedLinearRegressionLinkType.Value] = None, maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), fitIntercept: Option[Boolean] = None, family: Option[GeneralizedLinearRegressionFamily.Value] = None, solver: Option[GeneralizedLinearRegressionSolver.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Regressor with Product with Serializable

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Serializable, Serializable, Product, Equals, Regressor, AnyRef, Any
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  1. GeneralizedLinearRegression
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Regressor
  7. AnyRef
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Visibility
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Instance Constructors

  1. new GeneralizedLinearRegression(_id: Option[BSONObjectID] = None, regularization: ValueOrSeq[Double] = Left(None), link: Option[GeneralizedLinearRegressionLinkType.Value] = None, maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), fitIntercept: Option[Boolean] = None, family: Option[GeneralizedLinearRegressionFamily.Value] = None, solver: Option[GeneralizedLinearRegressionSolver.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date())

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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. val _id: Option[BSONObjectID]

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    Definition Classes
    GeneralizedLinearRegression → Regressor

  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 createdById: Option[BSONObjectID]

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    Definition Classes
    GeneralizedLinearRegression → Regressor

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

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    Definition Classes
    AnyRef

  9. val family: Option[GeneralizedLinearRegressionFamily.Value]

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  10. def finalize(): Unit

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

  11. val fitIntercept: Option[Boolean]

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

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    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. val link: Option[GeneralizedLinearRegressionLinkType.Value]

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  15. val maxIteration: ValueOrSeq[Int]

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  16. val name: Option[String]

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    Definition Classes
    GeneralizedLinearRegression → Regressor

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

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    Definition Classes
    AnyRef

  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  20. val regularization: ValueOrSeq[Double]

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  21. val solver: Option[GeneralizedLinearRegressionSolver.Value]

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

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    Definition Classes
    AnyRef

  23. val timeCreated: Date

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    Definition Classes
    GeneralizedLinearRegression → Regressor

  24. val tolerance: ValueOrSeq[Double]

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  25. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Regressor

Inherited from AnyRef

Inherited from Any

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