org.apache.spark.ml.feature

Class RegexTokenizer

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.UnaryTransformer<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

org.apache.spark.ml.feature.RegexTokenizer

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable

public class RegexTokenizer
extends UnaryTransformer<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

:: Experimental :: A regex based tokenizer that extracts tokens either by using the provided regex pattern to split the text (default) or repeatedly matching the regex (if gaps is false). Optional parameters also allow filtering tokens using a minimal length. It returns an array of strings that can be empty.

See Also:

Serialized Form

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
RegexTokenizer	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
protected scala.Function1<java.lang.String,scala.collection.Seq<java.lang.String>>	createTransformFunc() Creates the transform function using the given param map.
BooleanParam	gaps() Indicates whether regex splits on gaps (true) or matches tokens (false).
boolean	getGaps()
int	getMinTokenLength()
java.lang.String	getPattern()
IntParam	minTokenLength() Minimum token length, >= 0.
protected DataType	outputDataType() Returns the data type of the output column.
Param<java.lang.String>	pattern() Regex pattern used to match delimiters if gaps is true or tokens if gaps is false.
RegexTokenizer	setGaps(boolean value)
RegexTokenizer	setMinTokenLength(int value)
RegexTokenizer	setPattern(java.lang.String value)
java.lang.String	uid() An immutable unique ID for the object and its derivatives.
protected void	validateInputType(DataType inputType) Validates the input type.

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

setInputCol, setOutputCol, transform, transformSchema

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

RegexTokenizer

public RegexTokenizer(java.lang.String uid)

RegexTokenizer

public RegexTokenizer()

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)

minTokenLength

public IntParam minTokenLength()

Minimum token length, >= 0. Default: 1, to avoid returning empty strings

Returns:

(undocumented)

setMinTokenLength

public RegexTokenizer setMinTokenLength(int value)

getMinTokenLength

public int getMinTokenLength()

gaps

public BooleanParam gaps()

Indicates whether regex splits on gaps (true) or matches tokens (false). Default: true

Returns:

(undocumented)

setGaps

public RegexTokenizer setGaps(boolean value)

getGaps

public boolean getGaps()

pattern

public Param<java.lang.String> pattern()

Regex pattern used to match delimiters if gaps is true or tokens if gaps is false. Default: "\\s+"

Returns:

(undocumented)

setPattern

public RegexTokenizer setPattern(java.lang.String value)

getPattern

public java.lang.String getPattern()

createTransformFunc

protected scala.Function1<java.lang.String,scala.collection.Seq<java.lang.String>> 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<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

Returns:

(undocumented)

validateInputType

protected void validateInputType(DataType inputType)

Description copied from class: UnaryTransformer

Validates the input type. Throw an exception if it is invalid.

Overrides:

validateInputType in class UnaryTransformer<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

Parameters:

inputType - (undocumented)

outputDataType

protected DataType outputDataType()

Description copied from class: UnaryTransformer

Returns the data type of the output column.

Specified by:

outputDataType in class UnaryTransformer<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

Returns:

(undocumented)

copy

public RegexTokenizer copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly.

Specified by:

copy in interface Params

Overrides:

copy in class UnaryTransformer<java.lang.String,scala.collection.Seq<java.lang.String>,RegexTokenizer>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()