Class

ml.combust.mleap.core.feature

StandardScalerModel

Related Doc: package feature

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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

Annotations
@SparkCode()
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Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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  1. StandardScalerModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
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Instance Constructors

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

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    std

    optional standard deviations of features

    mean

    optional means of features

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def apply(vector: Vector): Vector

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    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

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. def inputSchema: StructType

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    Definition Classes
    StandardScalerModel → Model

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. val mean: Option[Vector]

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    optional means of features

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. def outputSchema: StructType

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    Definition Classes
    StandardScalerModel → Model

  17. val size: Int

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  18. val std: Option[Vector]

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    optional standard deviations of features

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

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    Definition Classes
    AnyRef

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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