axle.ml.FeatureNormalizer

LinearFeatureNormalizer

class LinearFeatureNormalizer extends FeatureNormalizer

Linear Supertypes
FeatureNormalizer, AnyRef, Any
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  1. LinearFeatureNormalizer
  2. FeatureNormalizer
  3. AnyRef
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Visibility
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Instance Constructors

  1. new LinearFeatureNormalizer (X: M[Double])

Value Members

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

    Attributes
    final
    Definition Classes
    AnyRef

  2. def != (arg0: Any): Boolean

    Attributes
    final
    Definition Classes
    Any

  3. def ## (): Int

    Attributes
    final
    Definition Classes
    AnyRef → Any

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

    Attributes
    final
    Definition Classes
    AnyRef

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

    Attributes
    final
    Definition Classes
    Any

  6. def asInstanceOf [T0] : T0

    Attributes
    final
    Definition Classes
    Any

  7. def clone (): AnyRef

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

  8. val colMins : JblasMatrix[Double]

  9. val colRanges : M[Double]

  10. def denormalize (featureRow: M[Double]): Seq[Double]

    Definition Classes
    LinearFeatureNormalizer → FeatureNormalizer

  11. def eq (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  12. def equals (arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. def finalize (): Unit

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

  14. def getClass (): java.lang.Class[_]

    Attributes
    final
    Definition Classes
    AnyRef → Any

  15. def hashCode (): Int

    Definition Classes
    AnyRef → Any

  16. def isInstanceOf [T0] : Boolean

    Attributes
    final
    Definition Classes
    Any

  17. val nd : JblasMatrix[Double]

  18. def ne (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  19. def normalize (features: Seq[Double]): M[Double]

    Definition Classes
    LinearFeatureNormalizer → FeatureNormalizer

  20. def normalizedData (): M[Double]

    Definition Classes
    LinearFeatureNormalizer → FeatureNormalizer

  21. def notify (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  22. def notifyAll (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  23. def random (): M[Double]

    Definition Classes
    LinearFeatureNormalizer → FeatureNormalizer

  24. def synchronized [T0] (arg0: ⇒ T0): T0

    Attributes
    final
    Definition Classes
    AnyRef

  25. def toString (): String

    Definition Classes
    AnyRef → Any

  26. def wait (): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

  28. def wait (arg0: Long): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from FeatureNormalizer

Inherited from AnyRef

Inherited from Any