o

com.spotify.featran.transformers

TopNOneHotEncoder

object TopNOneHotEncoder extends SettingsBuilder with Serializable

Transform a collection of categorical features to binary columns, with at most a single one-value. Only the top N items are tracked.

The list of top N is 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 either transformed to zero vectors or encoded as unknown.

Source
TopNOneHotEncoder.scala
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  4. def apply(name: String, n: Int, eps: Double = 0.001, delta: Double = 0.001, seed: Int = Random.nextInt, encodeMissingValue: Boolean = false): Transformer[String, SketchMap[String, Long], SortedMap[String, Int]]

    Create a new TopNOneHotEncoder instance.

    Create a new TopNOneHotEncoder instance.

    n

    number of items 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

    encodeMissingValue

    whether to indicate to encode items outside of the top n set as unknown

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

    Create a new TopNOneHotEncoder from a settings object

    Create a new TopNOneHotEncoder from a settings object

    setting

    Settings object

    Definition Classes
    TopNOneHotEncoder → SettingsBuilder
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