ml.combust.mleap.core.feature

StandardScalerModel

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

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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Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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  1. StandardScalerModel
  2. Serializable
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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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  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

    Definition Classes
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  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( ... )

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

    Definition Classes
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  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. def inputSchema: StructType

    Definition Classes
    StandardScalerModel → Model

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. val mean: Option[Vector]

    optional means of features

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. def outputSchema: StructType

    Definition Classes
    StandardScalerModel → Model

  19. val size: Int

  20. val std: Option[Vector]

    optional standard deviations of features

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

    Definition Classes
    AnyRef

  22. final def wait(): Unit

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

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