org.apache.spark.ml.feature

Class Tokenizer

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.UnaryTransformer<String,scala.collection.Seq<String>,Tokenizer>

org.apache.spark.ml.feature.Tokenizer

All Implemented Interfaces:

java.io.Serializable, Logging, Params, HasInputCol, HasOutputCol, DefaultParamsWritable, Identifiable, MLWritable

public class Tokenizer
extends UnaryTransformer<String,scala.collection.Seq<String>,Tokenizer>
implements DefaultParamsWritable

A tokenizer that converts the input string to lowercase and then splits it by white spaces.

See Also:

RegexTokenizer, Serialized Form

Constructor Summary

Constructors

Constructor and Description
Tokenizer()
Tokenizer(String uid)

Method Summary

Modifier and Type	Method and Description
Tokenizer	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static Tokenizer	load(String path)
static MLReader<T>	read()
String	uid() An immutable unique ID for the object and its derivatives.

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

inputCol, outputCol, 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

params

Methods inherited from class Object

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

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

write

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

save

Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCol

getInputCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCol

getOutputCol

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

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

toString

Methods inherited from interface org.apache.spark.internal.Logging

initializeForcefully, initializeLogging, initializeLogIfNecessary, initializeLogIfNecessary, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

Tokenizer

public Tokenizer(String uid)

Tokenizer

public Tokenizer()

Method Detail

load

public static Tokenizer load(String path)

read

public static MLReader<T> read()

uid

public String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

copy

public Tokenizer 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. See defaultCopy().

Specified by:

copy in interface Params

Overrides:

copy in class UnaryTransformer<String,scala.collection.Seq<String>,Tokenizer>

Parameters:

extra - (undocumented)

Returns:

(undocumented)