org.apache.spark.mllib.feature

Class ElementwiseProduct

java.lang.Object

org.apache.spark.mllib.feature.ElementwiseProduct

All Implemented Interfaces:

java.io.Serializable, VectorTransformer

public class ElementwiseProduct
extends java.lang.Object
implements 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. param: scalingVec The values used to scale the reference vector's individual components.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ElementwiseProduct(Vector scalingVec)

Method Summary

Methods

Modifier and Type	Method and Description
Vector	scalingVec()
Vector	transform(Vector vector) Does the hadamard product transformation.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.mllib.feature.VectorTransformer

transform, transform

Constructor Detail

ElementwiseProduct

public ElementwiseProduct(Vector scalingVec)

Method Detail

scalingVec

public Vector scalingVec()

transform

public Vector transform(Vector vector)

Does the hadamard product transformation.

Specified by:

transform in interface VectorTransformer

Parameters:

vector - vector to be transformed.

Returns:

transformed vector.