Class/Object

org.apache.spark.mllib.feature

Word2VecModel

Related Docs: object Word2VecModel | package feature

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class Word2VecModel extends Serializable with Saveable

Word2Vec model

Annotations
@Since( "1.1.0" )
Source
Word2Vec.scala
Linear Supertypes
Saveable, Serializable, Serializable, AnyRef, Any
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  1. Word2VecModel
  2. Saveable
  3. Serializable
  4. Serializable
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Instance Constructors

  1. new Word2VecModel(model: Map[String, Array[Float]])

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    Annotations
    @Since( "1.5.0" )

Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any
  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
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    @throws( classOf[java.lang.Throwable] )
  9. def findSynonyms(vector: Vector, num: Int): Array[(String, Double)]

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    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)

    Annotations
    @Since( "1.1.0" )
  10. def findSynonyms(word: String, num: Int): Array[(String, Double)]

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    Find synonyms of a word

    Find synonyms of a word

    word

    a word

    num

    number of synonyms to find

    returns

    array of (word, cosineSimilarity)

    Annotations
    @Since( "1.1.0" )
  11. def formatVersion: String

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    Current version of model save/load format.

    Current version of model save/load format.

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

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    Definition Classes
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  13. def getVectors: Map[String, Array[Float]]

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    Returns a map of words to their vector representations.

    Returns a map of words to their vector representations.

    Annotations
    @Since( "1.2.0" )
  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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    AnyRef
  17. final def notify(): Unit

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    AnyRef
  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  19. def save(sc: SparkContext, path: String): Unit

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    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
    Annotations
    @Since( "1.4.0" )
  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  21. def toString(): String

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  22. def transform(word: String): Vector

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    Transforms a word to its vector representation

    Transforms a word to its vector representation

    word

    a word

    returns

    vector representation of word

    Annotations
    @Since( "1.1.0" )
  23. final def wait(): Unit

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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  25. final def wait(arg0: Long): Unit

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Inherited from Saveable

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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