object StandardScaler extends SettingsBuilder with Serializable

Transform features by normalizing each feature to have unit standard deviation and/or zero mean. When withStd is true, it scales the data to unit standard deviation. When withMean is true, it centers the data with mean before scaling.

Missing values are transformed to 0.0 if withMean is true or population mean otherwise.

Source
StandardScaler.scala
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  4. def apply(name: String, withStd: Boolean = true, withMean: Boolean = false): Transformer[Double, Moments, (Double, Double)]

    Create a new StandardScaler instance.

    Create a new StandardScaler instance.

    withStd

    whether to scale the data to unit standard deviation

    withMean

    whether to center the data with mean before scaling

  5. final def asInstanceOf[T0]: T0
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  10. def fromSettings(setting: Settings): Transformer[Double, Moments, (Double, Double)]

    Create a new StandardScaler from a settings object

    Create a new StandardScaler from a settings object

    setting

    Settings object

    Definition Classes
    StandardScalerSettingsBuilder
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