org.apache.spark.ml.feature

Class Normalizer

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.Normalizer

All Implemented Interfaces:

java.io.Serializable, Logging, Params

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

:: Experimental :: Normalize a vector to have unit norm using the given p-norm.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Normalizer()
Normalizer(String uid)

Method Summary

Methods

Modifier and Type	Method and Description
double	getP()
DoubleParam	p() Normalization in L^p^ space.
Normalizer	setP(double value)
String	uid()

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

setInputCol, setOutputCol, transform, transformSchema

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

copy, transform, transform, transform

Methods inherited from class Object

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

Constructor Detail

Normalizer

public Normalizer(String uid)

Normalizer

public Normalizer()

Method Detail

uid

public String uid()

p

public DoubleParam p()

Normalization in L^p^ space. Must be >= 1. (default: p = 2)

Returns:

(undocumented)

getP

public double getP()

setP

public Normalizer setP(double value)