Class

org.incal.spark_ml.models.regression

LinearRegression

Related Doc: package regression

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case class LinearRegression(_id: Option[BSONObjectID] = None, regularization: ValueOrSeq[Double] = Left(None), elasticMixingRatio: ValueOrSeq[Double] = Left(None), maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), fitIntercept: Option[Boolean] = None, solver: Option[RegressionSolver.Value] = None, standardization: Option[Boolean] = None, aggregationDepth: ValueOrSeq[Int] = Left(None), name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Regressor with Product with Serializable

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

  1. new LinearRegression(_id: Option[BSONObjectID] = None, regularization: ValueOrSeq[Double] = Left(None), elasticMixingRatio: ValueOrSeq[Double] = Left(None), maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), fitIntercept: Option[Boolean] = None, solver: Option[RegressionSolver.Value] = None, standardization: Option[Boolean] = None, aggregationDepth: ValueOrSeq[Int] = Left(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
    LinearRegression → Regressor

  5. val aggregationDepth: ValueOrSeq[Int]

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def clone(): AnyRef

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

  8. val createdById: Option[BSONObjectID]

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    Definition Classes
    LinearRegression → Regressor

  9. val elasticMixingRatio: ValueOrSeq[Double]

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

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    Definition Classes
    AnyRef

  11. def finalize(): Unit

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

  12. val fitIntercept: Option[Boolean]

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

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    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. val maxIteration: ValueOrSeq[Int]

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  16. val name: Option[String]

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    Definition Classes
    LinearRegression → 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[RegressionSolver.Value]

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  22. val standardization: Option[Boolean]

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

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    Definition Classes
    AnyRef

  24. val timeCreated: Date

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    Definition Classes
    LinearRegression → Regressor

  25. val tolerance: ValueOrSeq[Double]

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  26. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

  28. 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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