Class

ml.combust.mleap.core.feature

NormalizerModel

Related Doc: package feature

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case class NormalizerModel(pNorm: Double, inputSize: Int) extends Model with Product with Serializable

Class for storing a normalizer model.

pNorm

p normalization param

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@SparkCode()
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Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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  1. NormalizerModel
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  3. Serializable
  4. Product
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  6. Model
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Instance Constructors

  1. new NormalizerModel(pNorm: Double, inputSize: Int)

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    pNorm

    p normalization param

Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. def apply(features: Vector): Vector

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    Normalizes a feature vector.

    Normalizes a feature vector.

    features

    features to normalize

    returns

    normalized feature vector

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

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  8. def finalize(): Unit

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    protected[java.lang]
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    @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
    NormalizerModel → Model

  11. val inputSize: Int

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  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. def outputSchema: StructType

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    Definition Classes
    NormalizerModel → Model

  17. val pNorm: Double

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    p normalization param

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

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    Definition Classes
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  19. final def wait(): Unit

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    @throws( ... )

  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 Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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