axle.matrix

JblasMatrixFactory

trait JblasMatrixFactory extends MatrixFactory

Self Type
JblasMatrixFactory
Linear Supertypes
MatrixFactory, AnyRef, Any
Known Subclasses
JblasMatrixFactory
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  1. JblasMatrixFactory
  2. MatrixFactory
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Type Members

  1. type E [T] = JblasElementAdapter[T]

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  2. case class JblasElementAdapter [I] (fp: FunctionPair[Double, I], format: (I) ⇒ String) extends Product with Serializable

  3. trait JblasMatrix [T] extends Matrix[T]

  4. class JblasMatrixImpl [T] extends JblasMatrix[T]

  5. type M [T] = JblasMatrix[T]

    Type Parameters:

    Type Parameters:

    T element type S storage type M subtype of Matrix that is backed by storage S and has elements of type T

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  6. trait Matrix [T] extends AnyRef

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 I [T] (n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

  7. def asInstanceOf [T0] : T0

    Attributes
    final
    Definition Classes
    Any

  8. def centerColumns (m: M[Double]): M[Double]

  9. def centerRows (m: M[Double]): M[Double]

  10. def clone (): AnyRef

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

  11. def columnRange (m: M[Double]): M[Double]

  12. def cov (m: M[Double]): M[Double]

  13. def diag [T] (row: JblasMatrix[T])(implicit elementAdapter: E[T]): JblasMatrix[T]

  14. implicit val double2boolean : FunctionPair[Double, Boolean]

    Attributes
    implicit

  15. implicit val double2double : FunctionPair[Double, Double]

    Attributes
    implicit

  16. implicit val double2int : FunctionPair[Double, Int]

    Attributes
    implicit

  17. implicit val elementAdapterBoolean : JblasElementAdapter[Boolean]

    Attributes
    implicit

  18. implicit val elementAdapterDouble : JblasElementAdapter[Double]

    Attributes
    implicit

  19. implicit val elementAdapterInt : JblasElementAdapter[Int]

    Attributes
    implicit

  20. def eq (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  21. def equals (arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  22. def eye [T] (n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

  23. def falses (m: Int, n: Int): JblasMatrix[Boolean]

  24. def finalize (): Unit

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

  25. implicit val formatBoolean : (Boolean) ⇒ String

    Attributes
    implicit

  26. implicit val formatDouble : (Double) ⇒ String

    Attributes
    implicit

  27. implicit val formatInt : (Int) ⇒ String

    Attributes
    implicit

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

    Attributes
    final
    Definition Classes
    AnyRef → Any

  29. def hashCode (): Int

    Definition Classes
    AnyRef → Any

  30. def isInstanceOf [T0] : Boolean

    Attributes
    final
    Definition Classes
    Any

  31. def matrix [T] (m: Int, n: Int, f: (Int, Int) ⇒ T)(implicit elementAdapter: E[T]): M[T]

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  32. def matrix [T] (m: Int, n: Int, topleft: ⇒ T, left: (Int) ⇒ T, top: (Int) ⇒ T, fill: (Int, Int, T, T, T) ⇒ T)(implicit elementAdapter: E[T]): M[T]

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  33. def matrix [T] (r: Int, c: Int, values: Array[T])(implicit elementAdapter: E[T]): JblasMatrix[T]

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  34. def matrix [T] (s: DoubleMatrix)(implicit elementAdapter: E[T]): JblasMatrix[T]

  35. def median (m: M[Double]): M[Double]

  36. def ne (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  37. def notify (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  38. def notifyAll (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  39. def numComponentsForCutoff (s: M[Double], cutoff: Double): Int

  40. def ones [T] (m: Int, n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

  41. def pca (Xnorm: M[Double], cutoff: Double = 0.95): (M[Double], M[Double])

    Principal Component Analysis (PCA)

    Principal Component Analysis (PCA)

    assumes that the input matrix, Xnorm, has been normalized, in other words: mean of each column == 0.0 stddev of each column == 1.0 (I'm not clear if this is a strict requirement)

    http://folk.uio.no/henninri/pca_module/ http://public.lanl.gov/mewall/kluwer2002.html https://mailman.cae.wisc.edu/pipermail/help-octave/2004-May/012772.html

    returns

    (U, S) where U = eigenvectors and S = eigenvalues (truncated to requested cutoff)

  42. def rand [T] (m: Int, n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

  43. def randn [T] (m: Int, n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

  44. def rowRange (m: M[Double]): M[Double]

  45. def std (m: M[Double]): M[Double]

  46. def sumsq (m: M[Double]): M[Double]

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

    Attributes
    final
    Definition Classes
    AnyRef

  48. def toString (): String

    Definition Classes
    AnyRef → Any

  49. def trues (m: Int, n: Int): JblasMatrix[Boolean]

  50. def wait (): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

  52. def wait (arg0: Long): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

  53. def zeros [T] (m: Int, n: Int)(implicit elementAdapter: JblasElementAdapter[T]): JblasMatrix[T]

    Definition Classes
    JblasMatrixFactory → MatrixFactory

  54. def zscore (m: M[Double]): M[Double]

Inherited from MatrixFactory

Inherited from AnyRef

Inherited from Any