org.apache.spark.ml.feature

Class Normalizer

java.lang.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, Identifiable

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(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.
double	getP()
static Normalizer	load(java.lang.String path)
protected DataType	outputDataType() Returns the data type of the output column.
DoubleParam	p() Normalization in L^p^ space.
Normalizer	setP(double 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

Normalizer

public Normalizer(java.lang.String uid)

Normalizer

public Normalizer()

Method Detail

load

public static Normalizer load(java.lang.String path)

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Returns:

(undocumented)

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)

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,Normalizer>

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,Normalizer>

Returns:

(undocumented)