FrequentItems

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31. def singlePassFreqItems(df: DataFrame, cols: Seq[String], support: Double): DataFrame

    Finding frequent items for columns, possibly with false positives.

    Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in here, proposed by Karp, Schenker, and Papadimitriou. The support should be greater than 1e-4. For Internal use only.

    df

    The input DataFrame

    cols

    the names of the columns to search frequent items in

    support

    The minimum frequency for an item to be considered frequent. Should be greater than 1e-4.

    returns

    A Local DataFrame with the Array of frequent items for each column.

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