o

com.spotify.featran.transformers

NHotWeightedEncoder

object NHotWeightedEncoder extends SettingsBuilder with Serializable

Transform a collection of weighted categorical features to columns of weight sums, with at most N values.

Weights of the same labels in a row are summed instead of 1.0 as is the case with the normal NHotEncoder.

Missing values are either transformed to zero vectors or encoded as a missing value.

When using aggregated feature summary from a previous session, unseen labels are either transformed to zero vectors or encoded as unknown (if encodeMissingValue is true) and [FeatureRejection.Unseen]] rejections are reported.

Source
NHotWeightedEncoder.scala
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  4. def apply(name: String, encodeMissingValue: Boolean = false): Transformer[Seq[WeightedLabel], Set[String], SortedMap[String, Int]]

    Create a new NHotWeightedEncoder instance.

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  10. def fromSettings(setting: Settings): Transformer[Seq[WeightedLabel], Set[String], SortedMap[String, Int]]

    Create a new NHotWeightedEncoder from a settings object

    Create a new NHotWeightedEncoder from a settings object

    setting

    Settings object

    Definition Classes
    NHotWeightedEncoderSettingsBuilder
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