axle.matrix

JblasMatrixModule

trait JblasMatrixModule extends MatrixModule

Linear Supertypes
MatrixModule, AnyRef, Any
Known Subclasses
JblasMatrixModule
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  2. MatrixModule
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Type Members

  1. type C[T] = FunctionPair[Double, 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
    JblasMatrixModule → MatrixModule

  2. class Matrix[T] extends MatrixLike[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  3. trait MatrixLike[T] extends AnyRef

    Definition Classes
    MatrixModule

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. def I[T](n: Int)(implicit arg0: C[T]): Matrix[T]

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

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

    Definition Classes
    JblasMatrixModule → MatrixModule

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

    Definition Classes
    JblasMatrixModule → MatrixModule

  10. def clone(): AnyRef

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

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

    Definition Classes
    JblasMatrixModule → MatrixModule

  12. implicit val convertBoolean: C[Boolean]

    Definition Classes
    JblasMatrixModule → MatrixModule

  13. implicit val convertDouble: C[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

  14. implicit val convertInt: C[Int]

    Definition Classes
    JblasMatrixModule → MatrixModule

  15. def cov(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

  16. def diag[T](row: Matrix[T])(implicit arg0: C[T]): Matrix[T]

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

    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  19. def eye[T](n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  20. def falses(m: Int, n: Int): Matrix[Boolean]

  21. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  23. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  24. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  25. def matrix[T](m: Int, n: Int, f: (Int, Int) ⇒ T)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  26. def matrix[T](m: Int, n: Int, topleft: ⇒ T, left: (Int) ⇒ T, top: (Int) ⇒ T, fill: (Int, Int, T, T, T) ⇒ T)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  27. def matrix[T](r: Int, c: Int, values: Array[T])(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  28. def matrix[T](s: DoubleMatrix)(implicit arg0: C[T]): Matrix[T]

  29. def median(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

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

    Definition Classes
    AnyRef

  31. final def notify(): Unit

    Definition Classes
    AnyRef

  32. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  33. def numComponentsForCutoff(s: Matrix[Double], cutoff: Double): Int

    Definition Classes
    JblasMatrixModule → MatrixModule

  34. def ones[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  35. def pca(Xnorm: Matrix[Double], cutoff: Double = 0.95): (Matrix[Double], Matrix[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)

    Definition Classes
    JblasMatrixModule → MatrixModule

  36. def rand[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

  37. def randn[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

  38. def rowRange(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

  39. def std(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

  40. def sumsq(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

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

    Definition Classes
    AnyRef

  42. def toString(): String

    Definition Classes
    AnyRef → Any

  43. def trues(m: Int, n: Int): Matrix[Boolean]

  44. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

  47. def zeros[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    JblasMatrixModule → MatrixModule

  48. def zscore(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    JblasMatrixModule → MatrixModule

Inherited from MatrixModule

Inherited from AnyRef

Inherited from Any

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