org.apache.spark.ml.feature

Class ElementwiseProduct

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.UnaryTransformer<Vector,Vector,ElementwiseProduct>

org.apache.spark.ml.feature.ElementwiseProduct

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable

public class ElementwiseProduct
extends UnaryTransformer<Vector,Vector,ElementwiseProduct>

:: Experimental :: 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.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ElementwiseProduct()
ElementwiseProduct(java.lang.String uid)

Method Summary

Methods

Modifier and Type	Method and Description
protected scala.Function1<Vector,Vector>	createTransformFunc() Creates the transform function using the given param map.
Vector	getScalingVec()
protected DataType	outputDataType() Returns the data type of the output column.
Param<Vector>	scalingVec() the vector to multiply with input vectors
ElementwiseProduct	setScalingVec(Vector value)
java.lang.String	uid() An immutable unique ID for the object and its derivatives.

Methods inherited from class org.apache.spark.ml.UnaryTransformer

copy, setInputCol, setOutputCol, transform, transformSchema, validateInputType

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class org.apache.spark.ml.PipelineStage

transformSchema

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.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParams

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Constructor Detail

ElementwiseProduct

public ElementwiseProduct(java.lang.String uid)

ElementwiseProduct

public ElementwiseProduct()

Method Detail

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Returns:

(undocumented)

scalingVec

public Param<Vector> scalingVec()

the vector to multiply with input vectors

Returns:

(undocumented)

setScalingVec

public ElementwiseProduct setScalingVec(Vector value)

getScalingVec

public Vector getScalingVec()

createTransformFunc

protected scala.Function1<Vector,Vector> createTransformFunc()

Description copied from class: UnaryTransformer

Creates the transform function using the given param map. The input param map already takes account of the embedded param map. So the param values should be determined solely by the input param map.

Specified by:

createTransformFunc in class UnaryTransformer<Vector,Vector,ElementwiseProduct>

Returns:

(undocumented)

outputDataType

protected DataType outputDataType()

Description copied from class: UnaryTransformer

Returns the data type of the output column.

Specified by:

outputDataType in class UnaryTransformer<Vector,Vector,ElementwiseProduct>

Returns:

(undocumented)