ml.combust.mleap.core.feature

StandardScalerModel

case class StandardScalerModel(std: Option[Vector], mean: Option[Vector]) extends Serializable with Product

Class for standard scaler models.

Standard scaler will use stddev, mean, or both to scale a feature vector down.

std

optional standard deviations of features

mean

optional means of features

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Product, Equals, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new StandardScalerModel(std: Option[Vector], mean: Option[Vector])

    std

    optional standard deviations of features

    mean

    optional means of features

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. def apply(vector: Vector): Vector

    Scale a feature vector using stddev, mean, or both.

    Scale a feature vector using stddev, mean, or both.

    vector

    feature vector

    returns

    scaled feature vector

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. final def eq(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  12. final def isInstanceOf[T0]: Boolean

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  13. val mean: Option[Vector]

    optional means of features

  14. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  15. final def notify(): Unit

    Definition Classes
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  16. final def notifyAll(): Unit

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  17. val std: Option[Vector]

    optional standard deviations of features

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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Inherited from Product

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