org.apache.spark.mllib.feature

ElementwiseProduct

class ElementwiseProduct extends VectorTransformer

Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a provided "weight" vector. In other words, it scales each column of the dataset by a scalar multiplier.

Annotations
@Since( "1.4.0" )
Source
ElementwiseProduct.scala
Linear Supertypes
VectorTransformer, Serializable, Serializable, AnyRef, Any
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  1. ElementwiseProduct
  2. VectorTransformer
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Instance Constructors

  1. new ElementwiseProduct(scalingVec: Vector)

    scalingVec

    The values used to scale the reference vector's individual components.

    Annotations
    @Since( "1.4.0" )

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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

    Definition Classes
    Any
  3. final def ##(): Int

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

    Definition Classes
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  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  17. val scalingVec: Vector

    The values used to scale the reference vector's individual components.

    The values used to scale the reference vector's individual components.

    Annotations
    @Since( "1.4.0" )
  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

    Does the hadamard product transformation.

    Does the hadamard product transformation.

    vector

    vector to be transformed.

    returns

    transformed vector.

    Definition Classes
    ElementwiseProductVectorTransformer
    Annotations
    @Since( "1.4.0" )
  21. 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" )
  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(): Unit

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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  25. final def wait(arg0: Long): Unit

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Inherited from VectorTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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