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Showing content from http://spark.apache.org/docs/latest/api/java/org/apache/spark/ml/feature/Word2Vec.html below:

Word2Vec (Spark 4.0.0 JavaDoc)

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, Word2VecBase, Params, HasInputCol, HasMaxIter, HasOutputCol, HasSeed, HasStepSize, DefaultParamsWritable, Identifiable, MLWritable

Word2Vec trains a model of Map(String, Vector), i.e. transforms a word into a code for further natural language processing or machine learning process.

See Also:

• Serialized Form

• Nested Class Summary
  Nested classes/interfaces inherited from interface org.apache.spark.internal.Loggingorg.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

• Constructor Summary

  Constructors

• Method Summary

  Creates a copy of this instance with the same UID and some extra params.

  Fits a model to the input data.

  Param for input column name.

  Param for maximum number of iterations (>= 0).

  Sets the maximum length (in words) of each sentence in the input data.

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

  Number of partitions for sentences of words.

  Param for output column name.

  Param for Step size to be used for each iteration of optimization (> 0).

  Check transform validity and derive the output schema from the input schema.

  An immutable unique ID for the object and its derivatives.

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

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

  Methods inherited from interface org.apache.spark.internal.LogginginitializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext
  Methods inherited from interface org.apache.spark.ml.util.MLWritablesave Methods inherited from interface org.apache.spark.ml.param.Paramsclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

• Constructor Details
  • Word2Vec
  • Word2Vec

    public Word2Vec()

• Method Details
  • load
  • read
  • vectorSize

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

    Specified by:

    vectorSize in interface Word2VecBase

    Returns:

    (undocumented)

  • windowSize

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

    Specified by:

    windowSize in interface Word2VecBase

    Returns:

    (undocumented)

  • numPartitions

    Number of partitions for sentences of words. Default: 1

    Specified by:

    numPartitions in interface Word2VecBase

    Returns:

    (undocumented)

  • minCount

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

    Specified by:

    minCount in interface Word2VecBase

    Returns:

    (undocumented)

  • maxSentenceLength public final 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

    Specified by:

    maxSentenceLength in interface Word2VecBase

    Returns:

    (undocumented)

  • seed Description copied from interface: HasSeed

    Param for random seed.

    Specified by:

    seed in interface HasSeed

    Returns:

    (undocumented)

  • stepSize

    Param for Step size to be used for each iteration of optimization (> 0).

    Specified by:

    stepSize in interface HasStepSize

    Returns:

    (undocumented)

  • maxIter

    Param for maximum number of iterations (>= 0).

    Specified by:

    maxIter in interface HasMaxIter

    Returns:

    (undocumented)

  • outputCol

    Param for output column name.

    Specified by:

    outputCol in interface HasOutputCol

    Returns:

    (undocumented)

  • inputCol

    Param for input column name.

    Specified by:

    inputCol in interface HasInputCol

    Returns:

    (undocumented)

  • uid

    An immutable unique ID for the object and its derivatives.

    Specified by:

    uid in interface Identifiable

    Returns:

    (undocumented)

  • setInputCol
  • setOutputCol
  • setVectorSize public Word2Vec setVectorSize(int value)
  • setWindowSize public Word2Vec setWindowSize(int value)
  • setStepSize public Word2Vec setStepSize(double value)
  • setNumPartitions public Word2Vec setNumPartitions(int value)
  • setMaxIter
  • setSeed
  • setMinCount
  • setMaxSentenceLength public Word2Vec setMaxSentenceLength(int value)
  • fit

    Fits a model to the input data.

    Specified by:

    fit in class Estimator<Word2VecModel>

    Parameters:

    dataset - (undocumented)

    Returns:

    (undocumented)

  • transformSchema

    Check transform validity and derive the output schema from the input schema.

    We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

    Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

    Specified by:

    transformSchema in class PipelineStage

    Parameters:

    schema - (undocumented)

    Returns:

    (undocumented)

  • copy 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

    Specified by:

    copy in class Estimator<Word2VecModel>

    Parameters:

    extra - (undocumented)

    Returns:

    (undocumented)

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