object Bucketizer extends SettingsBuilder with Serializable

Transform a column of continuous features to n columns of feature buckets.

With n+1 splits, there are n buckets. A bucket defined by splits x,y holds values in the range [x,y) except the last bucket, which also includes y. Splits should be strictly increasing. Values at -inf, inf must be explicitly provided to cover all double values; Otherwise, FeatureRejection.OutOfBound rejection will be reported for values outside the splits specified.. Two examples of splits are Array(Double.NegativeInfinity, 0.0, 1.0, Double.PositiveInfinity) and Array(0.0, 1.0, 2.0).

Note that if you have no idea of the upper and lower bounds of the targeted column, you should add Double.NegativeInfinity and Double.PositiveInfinity as the bounds of your splits to prevent a potential FeatureRejection.OutOfBound rejection.

Note also that the splits that you provided have to be in strictly increasing order, i.e. s0 < s1 < s2 < ... < sn.

Missing values are transformed to zero vectors.

Source
Bucketizer.scala
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  4. def apply(name: String, splits: Array[Double]): Transformer[Double, Unit, Unit]

    Create a new Bucketizer instance.

    Create a new Bucketizer instance.

    splits

    parameter for mapping continuous features into buckets

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  10. def fromSettings(setting: Settings): Transformer[Double, Unit, Unit]

    Create a new Bucketizer from a settings object

    Create a new Bucketizer from a settings object

    setting

    Settings object

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    Bucketizer → SettingsBuilder
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