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c

org.apache.spark.mllib.feature

StandardScalerModel

class StandardScalerModel extends VectorTransformer

Represents a StandardScaler model that can transform vectors.

Annotations
@Since( "1.1.0" )
Linear Supertypes
VectorTransformer, Serializable, Serializable, AnyRef, Any
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  1. StandardScalerModel
  2. VectorTransformer
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Instance Constructors

  1. new StandardScalerModel(std: Vector)
    Annotations
    @Since( "1.3.0" )
  2. new StandardScalerModel(std: Vector, mean: Vector)

    Annotations
    @Since( "1.3.0" )
  3. new StandardScalerModel(std: Vector, mean: Vector, withStd: Boolean, withMean: Boolean)

    std

    column standard deviation values

    mean

    column mean values

    withStd

    whether to scale the data to have unit standard deviation

    withMean

    whether to center the data before scaling

    Annotations
    @Since( "1.3.0" )

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
    Definition Classes
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  5. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  9. def hashCode(): Int
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. val mean: Vector
    Annotations
    @Since( "1.1.0" )
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  13. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  14. final def notifyAll(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  15. def setWithMean(withMean: Boolean): StandardScalerModel.this.type
    Annotations
    @Since( "1.3.0" )
  16. def setWithStd(withStd: Boolean): StandardScalerModel.this.type
    Annotations
    @Since( "1.3.0" )
  17. val std: Vector
    Annotations
    @Since( "1.3.0" )
  18. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  19. def toString(): String
    Definition Classes
    AnyRef → Any
  20. def transform(vector: Vector): Vector

    Applies standardization transformation on a vector.

    Applies standardization transformation on a vector.

    vector

    Vector to be standardized.

    returns

    Standardized vector. If the std of a column is zero, it will return default 0.0 for the column with zero std.

    Definition Classes
    StandardScalerModelVectorTransformer
    Annotations
    @Since( "1.1.0" )
  21. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    Applies transformation on a JavaRDD[Vector].

    Applies transformation on a JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )
  22. def transform(data: RDD[Vector]): RDD[Vector]

    Applies transformation on an RDD[Vector].

    Applies transformation on an RDD[Vector].

    data

    RDD[Vector] to be transformed.

    returns

    transformed RDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  24. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  25. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  26. var withMean: Boolean
    Annotations
    @Since( "1.3.0" )
  27. var withStd: Boolean
    Annotations
    @Since( "1.3.0" )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from VectorTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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