org.apache.spark.mllib.feature

IDFModel

class IDFModel extends Serializable

Represents an IDF model that can transform term frequency vectors.

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@Since( "1.1.0" )
Source
IDF.scala
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  13. val idf: Vector

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    @Since( "1.1.0" )

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  20. def transform(dataset: JavaRDD[Vector]): JavaRDD[Vector]

    Transforms term frequency (TF) vectors to TF-IDF vectors (Java version).

    Transforms term frequency (TF) vectors to TF-IDF vectors (Java version).

    dataset

    a JavaRDD of term frequency vectors

    returns

    a JavaRDD of TF-IDF vectors

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    @Since( "1.1.0" )

  21. def transform(v: Vector): Vector

    Transforms a term frequency (TF) vector to a TF-IDF vector

    Transforms a term frequency (TF) vector to a TF-IDF vector

    v

    a term frequency vector

    returns

    a TF-IDF vector

    Annotations
    @Since( "1.3.0" )

  22. def transform(dataset: RDD[Vector]): RDD[Vector]

    Transforms term frequency (TF) vectors to TF-IDF vectors.

    Transforms term frequency (TF) vectors to TF-IDF vectors.

    If minDocFreq was set for the IDF calculation, the terms which occur in fewer than minDocFreq documents will have an entry of 0.

    dataset

    an RDD of term frequency vectors

    returns

    an RDD of TF-IDF vectors

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    @Since( "1.1.0" )

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