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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  val MAX_FEATURES_FOR_NORMAL_SOLVER: Int

   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 X^TX 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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   protected[lang]

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   @throws( ... ) @native()

7.  final def eq(arg0: AnyRef): Boolean

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8.  def equals(arg0: Any): Boolean

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9.  def finalize(): Unit

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   @throws( classOf[java.lang.Throwable] )

10.  final def getClass(): Class[_]

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    @native()

11.  def hashCode(): Int

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    @native()

12.  final def isInstanceOf[T0]: Boolean

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13.  def load(path: String): LinearRegression

    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

    LinearRegression → MLReadable

    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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    @native()

16.  final def notifyAll(): Unit

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    @native()

17.  def read: MLReader[LinearRegression]

    Returns an MLReader instance for this class.

    Returns an MLReader instance for this class.

    Definition Classes

    DefaultParamsReadable → MLReadable

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( ... ) @native()