org.apache.spark.mllib.feature

IDF

class IDF extends AnyRef

:: Experimental :: Inverse document frequency (IDF). The standard formulation is used: idf = log((m + 1) / (d(t) + 1)), where m is the total number of documents and d(t) is the number of documents that contain term t.

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@Experimental()
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  1. new IDF()

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  11. def fit(dataset: JavaRDD[Vector]): IDFModel

    Computes the inverse document frequency.

    Computes the inverse document frequency.

    dataset

    a JavaRDD of term frequency vectors

  12. def fit(dataset: RDD[Vector]): IDFModel

    Computes the inverse document frequency.

    Computes the inverse document frequency.

    dataset

    an RDD of term frequency vectors

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