Object/Class

org.apache.spark.ml.regression

LinearRegression

Related Docs: class LinearRegression | package regression

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object LinearRegression extends DefaultParamsReadable[LinearRegression] with Serializable

Annotations
@Since( "1.6.0" )
Source
LinearRegression.scala
Linear Supertypes
Serializable, Serializable, DefaultParamsReadable[LinearRegression], MLReadable[LinearRegression], AnyRef, Any
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Inherited
  1. LinearRegression
  2. Serializable
  3. Serializable
  4. DefaultParamsReadable
  5. MLReadable
  6. AnyRef
  7. Any
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Visibility
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Value Members

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

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    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
    AnyRef → Any
  4. val MAX_FEATURES_FOR_NORMAL_SOLVER: Int

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    When using LinearRegression.solver == "normal", the solver must limit the number of features to at most this number.

    When using LinearRegression.solver == "normal", the solver must limit the number of features to at most this number. The entire covariance matrix XTX will be collected to the driver. This limit helps prevent memory overflow errors.

    Annotations
    @Since( "2.1.0" )
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def load(path: String): LinearRegression

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    Reads an ML instance from the input path, a shortcut of read.load(path).

    Reads an ML instance from the input path, a shortcut of read.load(path).

    Definition Classes
    LinearRegressionMLReadable
    Annotations
    @Since( "1.6.0" )
    Note

    Implementing classes should override this to be Java-friendly.

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def read: MLReader[LinearRegression]

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    Returns an MLReader instance for this class.

    Returns an MLReader instance for this class.

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

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  19. def toString(): String

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  20. final def wait(): Unit

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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  22. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from MLReadable[LinearRegression]

Inherited from AnyRef

Inherited from Any

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