org.apache.spark.ml.feature
Class HashingTF

Object
  org.apache.spark.ml.PipelineStage
      org.apache.spark.ml.Transformer
          org.apache.spark.ml.feature.HashingTF

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public class HashingTF
extends Transformer

:: Experimental :: Maps a sequence of terms to their term frequencies using the hashing trick.

See Also:

Serialized Form

Constructor Summary

HashingTF()

HashingTF(String uid)

Method Summary

HashingTF	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
int	getNumFeatures()
IntParam	numFeatures() Number of features.
HashingTF	setInputCol(String value)
HashingTF	setNumFeatures(int value)
HashingTF	setOutputCol(String value)
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid()

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

transform, transform, transform

Methods inherited from class Object

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

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, setDefault, shouldOwn, validateParams

Methods inherited from interface org.apache.spark.Logging

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

Constructor Detail

HashingTF

public HashingTF(String uid)

HashingTF

public HashingTF()

Method Detail

uid

public String uid()

setInputCol

public HashingTF setInputCol(String value)

setOutputCol

public HashingTF setOutputCol(String value)

numFeatures

public IntParam numFeatures()

Number of features. Should be > 0. (default = 2^18^)

Returns:

(undocumented)

getNumFeatures

public int getNumFeatures()

setNumFeatures

public HashingTF setNumFeatures(int value)

transform

public DataFrame transform(DataFrame dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

copy

public HashingTF 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

Specified by:

copy in class Transformer

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()