org.apache.spark.ml.feature

Class Word2VecModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<Word2VecModel>

org.apache.spark.ml.feature.Word2VecModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public class Word2VecModel
extends Model<Word2VecModel>

:: Experimental :: Model fitted by Word2Vec.

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
int	getMinCount()
int	getNumPartitions()
int	getVectorSize()
IntParam	minCount() The minimum number of times a token must appear to be included in the word2vec model's vocabulary.
IntParam	numPartitions() Number of partitions for sentences of words.
Word2VecModel	setInputCol(String value)
Word2VecModel	setOutputCol(String value)
DataFrame	transform(DataFrame dataset) Transform a sentence column to a vector column to represent the whole sentence.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid()
StructType	validateAndTransformSchema(StructType schema) Validate and transform the input schema.
IntParam	vectorSize() The dimension of the code that you want to transform from words.

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

copy, hasParent, parent, setParent

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, copy, copyValues, 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

Method Detail

uid

public String uid()

setInputCol

public Word2VecModel setInputCol(String value)

setOutputCol

public Word2VecModel setOutputCol(String value)

transform

public DataFrame transform(DataFrame dataset)

Transform a sentence column to a vector column to represent the whole sentence. The transform is performed by averaging all word vectors it contains.

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)

vectorSize

public IntParam vectorSize()

The dimension of the code that you want to transform from words.

Returns:

(undocumented)

getVectorSize

public int getVectorSize()

numPartitions

public IntParam numPartitions()

Number of partitions for sentences of words.

Returns:

(undocumented)

getNumPartitions

public int getNumPartitions()

minCount

public IntParam minCount()

The minimum number of times a token must appear to be included in the word2vec model's vocabulary.

Returns:

(undocumented)

getMinCount

public int getMinCount()

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)

Validate and transform the input schema.

Parameters:

schema - (undocumented)

Returns:

(undocumented)