org.apache.spark.ml.feature

Interface Word2VecBase

All Superinterfaces:

HasInputCol, HasMaxIter, HasOutputCol, HasSeed, HasStepSize, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

Word2Vec, Word2VecModel

public interface Word2VecBase
extends Params, HasInputCol, HasOutputCol, HasMaxIter, HasStepSize, HasSeed

Params for Word2Vec and Word2VecModel.

Method Summary

Modifier and Type	Method and Description
int	getMaxSentenceLength()
int	getMinCount()
int	getNumPartitions()
int	getVectorSize()
int	getWindowSize()
IntParam	maxSentenceLength() Sets the maximum length (in words) of each sentence in the input data.
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.
StructType	validateAndTransformSchema(StructType schema) Validate and transform the input schema.
IntParam	vectorSize() The dimension of the code that you want to transform from words.
IntParam	windowSize() The window size (context words from [-window, window]).

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

getInputCol, inputCol

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

getOutputCol, outputCol

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

getMaxIter, maxIter

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

getStepSize, stepSize

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

getSeed, seed

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

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

toString, uid

Method Detail

getMaxSentenceLength

int getMaxSentenceLength()

getMinCount

int getMinCount()

getNumPartitions

int getNumPartitions()

getVectorSize

int getVectorSize()

getWindowSize

int getWindowSize()

maxSentenceLength

IntParam maxSentenceLength()

Sets the maximum length (in words) of each sentence in the input data. Any sentence longer than this threshold will be divided into chunks of up to maxSentenceLength size. Default: 1000

Returns:

(undocumented)

minCount

IntParam minCount()

The minimum number of times a token must appear to be included in the word2vec model's vocabulary. Default: 5

Returns:

(undocumented)

numPartitions

IntParam numPartitions()

Number of partitions for sentences of words. Default: 1

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Validate and transform the input schema.

Parameters:

schema - (undocumented)

Returns:

(undocumented)

vectorSize

IntParam vectorSize()

The dimension of the code that you want to transform from words. Default: 100

Returns:

(undocumented)

windowSize

IntParam windowSize()

The window size (context words from [-window, window]). Default: 5

Returns:

(undocumented)