org.apache.spark.mllib.feature

Word2VecModel

class Word2VecModel extends Serializable with Saveable

:: Experimental :: Word2Vec model

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@Experimental()
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  1. final def !=(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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  11. def findSynonyms(vector: Vector, num: Int): Array[(String, Double)]

    Find synonyms of the vector representation of a word

    Find synonyms of the vector representation of a word

    vector

    vector representation of a word

    num

    number of synonyms to find

    returns

    array of (word, cosineSimilarity)

  12. def findSynonyms(word: String, num: Int): Array[(String, Double)]

    Find synonyms of a word

    Find synonyms of a word

    word

    a word

    num

    number of synonyms to find

    returns

    array of (word, cosineSimilarity)

  13. def formatVersion: String

    Current version of model save/load format.

    Current version of model save/load format.

    Attributes
    protected
    Definition Classes
    Word2VecModelSaveable
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def getVectors: Map[String, Array[Float]]

    Returns a map of words to their vector representations.

  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. final def ne(arg0: AnyRef): Boolean

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def save(sc: SparkContext, path: String): Unit

    Save this model to the given path.

    Save this model to the given path.

    This saves:

    • human-readable (JSON) model metadata to path/metadata/
    • Parquet formatted data to path/data/

    The model may be loaded using Loader.load.

    sc

    Spark context used to save model data.

    path

    Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.

    Definition Classes
    Word2VecModelSaveable
  22. final def synchronized[T0](arg0: ⇒ T0): T0

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  23. def toString(): String

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  24. def transform(word: String): Vector

    Transforms a word to its vector representation

    Transforms a word to its vector representation

    word

    a word

    returns

    vector representation of word

  25. final def wait(): Unit

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  27. final def wait(arg0: Long): Unit

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