Object/Class

org.apache.spark.ml.regression

GBTRegressor

Related Docs: class GBTRegressor | package regression

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object GBTRegressor extends DefaultParamsReadable[GBTRegressor] with Serializable

Annotations
@Since( "1.4.0" )
Source
GBTRegressor.scala
Linear Supertypes
Serializable, Serializable, DefaultParamsReadable[GBTRegressor], MLReadable[GBTRegressor], AnyRef, Any
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Inherited
  1. GBTRegressor
  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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    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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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

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    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  12. def load(path: String): GBTRegressor

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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
    GBTRegressorMLReadable
    Annotations
    @Since( "2.0.0" )
    Note

    Implementing classes should override this to be Java-friendly.

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

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. def read: MLReader[GBTRegressor]

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    Returns an MLReader instance for this class.

    Returns an MLReader instance for this class.

    Definition Classes
    DefaultParamsReadableMLReadable
  17. final val supportedLossTypes: Array[String]

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    Accessor for supported loss settings: squared (L2), absolute (L1)

    Accessor for supported loss settings: squared (L2), absolute (L1)

    Annotations
    @Since( "1.4.0" )
  18. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef
  19. def toString(): String

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  20. final def wait(): Unit

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    Annotations
    @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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    Definition Classes
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from MLReadable[GBTRegressor]

Inherited from AnyRef

Inherited from Any

Members