object HeavyHitters extends SettingsBuilder with Serializable

Transform a collection of categorical features to 2 columns, one for rank and one for count. Only the top heavyHittersCount items are tracked, with 1.0 being the most frequent rank, 2.0 the second most, etc. All other items are transformed to [0.0, 0.0].

Ranks and frequencies are estimated with Algebird's SketchMap data structure. With probability at least 1 - delta, this estimate is within eps * N of the true frequency (i.e., true frequency <= estimate <= true frequency + eps * N), where N is the total size of the input collection.

Missing values are transformed to [0.0, 0.0].

Source
HeavyHitters.scala
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  4. def apply(name: String, heavyHittersCount: Int, eps: Double = 0.001, delta: Double = 0.001, seed: Int = Random.nextInt): Transformer[String, SketchMap[String, Long], Map[String, (Int, Long)]]

    Create a new HeavyHitters instance.

    Create a new HeavyHitters instance.

    heavyHittersCount

    number of heavy hitters to keep track of

    eps

    one-sided error bound on the error of each point query, i.e. frequency estimate

    delta

    a bound on the probability that a query estimate does not lie within some small interval (an interval that depends on eps) around the truth

    seed

    a seed to initialize the random number generator used to create the pairwise independent hash functions

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  10. def fromSettings(setting: Settings): Transformer[String, SketchMap[String, Long], Map[String, (Int, Long)]]

    Create a new HeavyHitters from a settings object

    Create a new HeavyHitters from a settings object

    setting

    Settings object

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    HeavyHitters → SettingsBuilder
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