org.apache.spark.mllib.feature

StandardScalerModel

class StandardScalerModel extends VectorTransformer

:: Experimental :: Represents a StandardScaler model that can transform vectors.

Annotations
@Since( "1.1.0" ) @Experimental()
Linear Supertypes
VectorTransformer, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. StandardScalerModel
  2. VectorTransformer
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

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: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. val mean: Vector

    column mean values

    column mean values

    Annotations
    @Since( "1.1.0" )

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. def setWithMean(withMean: Boolean): StandardScalerModel.this.type

    Annotations
    @Since( "1.3.0" ) @DeveloperApi()

  19. def setWithStd(withStd: Boolean): StandardScalerModel.this.type

    Annotations
    @Since( "1.3.0" ) @DeveloperApi()

  20. val std: Vector

    column standard deviation values

    column standard deviation values

    Annotations
    @Since( "1.3.0" )

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

    Definition Classes
    AnyRef

  22. def toString(): String

    Definition Classes
    AnyRef → Any

  23. 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
    StandardScalerModel → VectorTransformer
    Annotations
    @Since( "1.1.0" )

  24. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    Applies transformation on an JavaRDD[Vector].

    Applies transformation on an JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )

  25. 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" )

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  28. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  29. var withMean: Boolean

    whether to center the data before scaling

    whether to center the data before scaling

    Annotations
    @Since( "1.3.0" )

  30. var withStd: Boolean

    whether to scale the data to have unit standard deviation

    whether to scale the data to have unit standard deviation

    Annotations
    @Since( "1.3.0" )

Inherited from VectorTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped