Class

org.apache.spark.mllib.feature

StandardScalerModel

Related Doc: package feature

Permalink

class StandardScalerModel extends VectorTransformer

Represents a StandardScaler model that can transform vectors.

Annotations
@Since( "1.1.0" )
Source
StandardScaler.scala
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
Visibility
  1. Public
  2. All

Instance Constructors

  1. new StandardScalerModel(std: Vector)

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

    Permalink

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

    Permalink

    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

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

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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

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

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

    Permalink
    Definition Classes
    Any
  12. val mean: Vector

    Permalink

    column mean values

    column mean values

    Annotations
    @Since( "1.1.0" )
  13. final def ne(arg0: AnyRef): Boolean

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

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

    Permalink
    Definition Classes
    AnyRef
  16. def setWithMean(withMean: Boolean): StandardScalerModel.this.type

    Permalink

    :: DeveloperApi ::

    :: DeveloperApi ::

    Annotations
    @Since( "1.3.0" ) @DeveloperApi()
  17. def setWithStd(withStd: Boolean): StandardScalerModel.this.type

    Permalink

    :: DeveloperApi ::

    :: DeveloperApi ::

    Annotations
    @Since( "1.3.0" ) @DeveloperApi()
  18. val std: Vector

    Permalink

    column standard deviation values

    column standard deviation values

    Annotations
    @Since( "1.3.0" )
  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  20. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  21. def transform(vector: Vector): Vector

    Permalink

    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" )
  22. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    Permalink

    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" )
  23. def transform(data: RDD[Vector]): RDD[Vector]

    Permalink

    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" )
  24. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. var withMean: Boolean

    Permalink

    whether to center the data before scaling

    whether to center the data before scaling

    Annotations
    @Since( "1.3.0" )
  28. var withStd: Boolean

    Permalink

    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