Word2VecModel

Value Members

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

   

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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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6. final def eq(arg0: AnyRef): Boolean

   

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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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   @throws( classOf[java.lang.Throwable] )

9. 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)

   Annotations

   @Since( "1.1.0" )

10. 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)

    Annotations

    @Since( "1.1.0" )

11. def formatVersion: String

    

    Current version of model save/load format.

    Current version of model save/load format.

    Attributes

    protected

    Definition Classes

    Word2VecModel → Saveable

12. final def getClass(): Class[_]

    

    Definition Classes

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

    

    Returns a map of words to their vector representations.

    Returns a map of words to their vector representations.

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    @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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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. 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

    Word2VecModel → Saveable

    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

    

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

    

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

    

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