Object

com.spotify.featran.transformers

MinMaxScaler

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object MinMaxScaler extends Serializable

Transform features by rescaling each feature to a specific range [min, max] (default [0, 1]).

Missing values are transformed to min.

When using aggregated feature summary from a previous session, out of bound values are truncated to min or max and FeatureRejection.OutOfBound rejections are reported.

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  4. def apply(name: String, min: Double = 0.0, max: Double = 1.0): Transformer[Double, (Min[Double], Max[Double]), C]

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    Create a new MinMaxScaler instance.

    Create a new MinMaxScaler instance.

    min

    lower bound after transformation, shared by all features

    max

    upper bound after transformation, shared by all features

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