Class

io.github.mandar2812.dynaml.utils

PCAScaler

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case class PCAScaler(center: DenseVector[Double], covmat: DenseMatrix[Double]) extends ReversibleScaler[DenseVector[Double]] with Product with Serializable

Transforms data by projecting on the principal components (eigen-vectors) of the sample covariance matrix.

center

The empirical mean of the data features

covmat

The empirical covariance matrix of the data features

Linear Supertypes
Product, Equals, ReversibleScaler[DenseVector[Double]], Encoder[DenseVector[Double], DenseVector[Double]], Scaler[DenseVector[Double]], DataPipe[DenseVector[Double], DenseVector[Double]], Serializable, Serializable, DataPipeConvertible[DenseVector[Double], DenseVector[Double]], AnyRef, Any
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Inherited
  1. PCAScaler
  2. Product
  3. Equals
  4. ReversibleScaler
  5. Encoder
  6. Scaler
  7. DataPipe
  8. Serializable
  9. Serializable
  10. DataPipeConvertible
  11. AnyRef
  12. Any
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Visibility
  1. Public
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Instance Constructors

  1. new PCAScaler(center: DenseVector[Double], covmat: DenseMatrix[Double])

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    center

    The empirical mean of the data features

    covmat

    The empirical covariance matrix of the data 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. def %>(that: Basis[DenseVector[Double]]): Basis[DenseVector[Double]]

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    Definition Classes
    DataPipe

  4. def *[T](that: ReversibleScaler[T]): ReversibleScaler[(DenseVector[Double], T)]

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    Definition Classes
    ReversibleScaler

  5. def *[T](that: Scaler[T]): Scaler[(DenseVector[Double], T)]

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    Definition Classes
    Scaler

  6. def *[OtherSource, OtherDestination](that: DataPipe[OtherSource, OtherDestination]): ParallelPipe[DenseVector[Double], DenseVector[Double], OtherSource, OtherDestination]

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    Definition Classes
    DataPipe

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

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    Definition Classes
    AnyRef → Any

  8. def >(otherRevScaler: ReversibleScaler[DenseVector[Double]]): ReversibleScaler[DenseVector[Double]]

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    Definition Classes
    ReversibleScaler

  9. def >[Further](that: Encoder[DenseVector[Double], Further]): Encoder[DenseVector[Double], Further]

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    Definition Classes
    Encoder

  10. def >(otherScaler: Scaler[DenseVector[Double]]): Scaler[DenseVector[Double]]

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    Definition Classes
    Scaler

  11. def >[Further](that: DataPipeConvertible[DenseVector[Double], Further]): DataPipe[DenseVector[Double], Further]

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    Definition Classes
    DataPipe

  12. def >-<[OtherSource, OtherDestination](that: DataPipe[OtherSource, OtherDestination]): DataPipe2[DenseVector[Double], OtherSource, (DenseVector[Double], OtherDestination)]

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    Definition Classes
    DataPipe

  13. def apply[T <: Traversable[DenseVector[Double]]](data: T): T

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    Definition Classes
    ReversibleScaler → Scaler → DataPipe

  14. def apply(data: DenseVector[Double]): DenseVector[Double]

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    Definition Classes
    DataPipe

  15. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  16. val center: DenseVector[Double]

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    The empirical mean of the data features

  17. def clone(): AnyRef

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

  18. val covmat: DenseMatrix[Double]

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    The empirical covariance matrix of the data features

  19. lazy val eigenvalues: DenseVector[Double]

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  20. lazy val eigenvectors: DenseMatrix[Double]

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

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    Definition Classes
    AnyRef

  22. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  24. val i: Scaler[DenseVector[Double]]

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    Definition Classes
    PCAScaler → ReversibleScaler → Encoder

  25. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  27. final def notify(): Unit

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    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  29. def run(data: DenseVector[Double]): DenseVector[Double]

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    Definition Classes
    PCAScaler → DataPipe

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

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    Definition Classes
    AnyRef

  31. def toPipe: (DenseVector[Double]) ⇒ DenseVector[Double]

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    Definition Classes
    DataPipe → DataPipeConvertible

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from ReversibleScaler[DenseVector[Double]]

Inherited from Encoder[DenseVector[Double], DenseVector[Double]]

Inherited from Scaler[DenseVector[Double]]

Inherited from DataPipe[DenseVector[Double], DenseVector[Double]]

Inherited from Serializable

Inherited from Serializable

Inherited from DataPipeConvertible[DenseVector[Double], DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

Ungrouped