org.apache.mahout.math.algorithms.preprocessing

StandardScaler

class StandardScaler extends PreprocessorFitter

Scales columns to mean 0 and unit variance

An important note- The equivelent call in R would be something like r N <- nrow(x) scale(x, scale= apply(x, 2, sd) * sqrt(N-1/N))

This is because R uses degrees of freedom = 1 to calculate standard deviation. Multiplying the standard deviation by sqrt(N-1/N) 'undoes' this correction.

The StandardScaler of sklearn uses degrees of freedom = 0 for its calculation, so results should be similar.

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PreprocessorFitter, UnsupervisedFitter, Fitter, AnyRef, Any
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  1. StandardScaler
  2. PreprocessorFitter
  3. UnsupervisedFitter
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Instance Constructors

  1. new StandardScaler()

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

  11. def fit[K](input: DrmLike[K], hyperparameters: (Symbol, Any)*): StandardScalerModel

    Definition Classes
    StandardScaler → PreprocessorFitter → UnsupervisedFitter

  12. def fitTransform[K](input: DrmLike[K], hyperparameters: (Symbol, Any)*): DrmLike[K]

    Definition Classes
    PreprocessorFitter

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

    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. var model: PreprocessorModel

    Definition Classes
    PreprocessorFitter

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  21. def toString(): String

    Definition Classes
    AnyRef → Any

  22. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from PreprocessorFitter

Inherited from UnsupervisedFitter

Inherited from Fitter

Inherited from AnyRef

Inherited from Any

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