org.apache.mahout.math.scalabindings

MatlabLikeMatrixOps

class MatlabLikeMatrixOps extends MatrixOps

Linear Supertypes
MatrixOps, AnyRef, Any
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  1. MatlabLikeMatrixOps
  2. MatrixOps
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Instance Constructors

  1. new MatlabLikeMatrixOps(_m: Matrix)

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. def !==(that: Matrix): Boolean

    Definition Classes
    MatrixOps
  4. final def ##(): Int

    Definition Classes
    AnyRef → Any
  5. def *(that: Vector): Vector

    matrix-vector multiplication

    matrix-vector multiplication

    that
    returns

  6. def *(that: Matrix): Matrix

    matrix-matrix multiplication

    matrix-matrix multiplication

    that
    returns

  7. def +(that: Double): Matrix

    Definition Classes
    MatrixOps
  8. def +(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  9. def +:(that: Double): Matrix

    Definition Classes
    MatrixOps
  10. def +=(that: Double): Matrix

    Definition Classes
    MatrixOps
  11. def +=(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  12. def +=:(that: Double): Matrix

    Definition Classes
    MatrixOps
  13. def +=:(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  14. def -(that: Double): Matrix

    Definition Classes
    MatrixOps
  15. def -(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  16. def -:(that: Double): Matrix

    Definition Classes
    MatrixOps
  17. def -:(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  18. def -=(that: Double): Matrix

    Definition Classes
    MatrixOps
  19. def -=(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  20. def -=:(that: Matrix): Matrix

    A := B - A which is -(A - B)

    A := B - A which is -(A - B)

    Definition Classes
    MatrixOps
  21. def -=:(that: Double): Matrix

    Definition Classes
    MatrixOps
  22. def ::=(f: (Double) ⇒ Double): Matrix

    Sparse function assign: iterate and assign over non-zeros only

    Sparse function assign: iterate and assign over non-zeros only

    Definition Classes
    MatrixOps
  23. def ::=(f: (Int, Int, Double) ⇒ Double): Matrix

    Sparse assign: iterate and assign over non-zeros only

    Sparse assign: iterate and assign over non-zeros only

    Definition Classes
    MatrixOps
  24. def :=(f: (Double) ⇒ Double): Matrix

    Functional assign with (Double) => Double

    Functional assign with (Double) => Double

    Definition Classes
    MatrixOps
  25. def :=(f: (Int, Int, Double) ⇒ Double): Matrix

    Definition Classes
    MatrixOps
  26. def :=(that: Double): Matrix

    Definition Classes
    MatrixOps
  27. def :=(that: TraversableOnce[Vector]): Unit

    Assigning from a row-wise collection of vectors

    Assigning from a row-wise collection of vectors

    that

    -

    Definition Classes
    MatrixOps
  28. def :=(that: Matrix): Matrix

    Definition Classes
    MatrixOps
  29. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  30. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  31. def ===(that: Matrix): Boolean

    Definition Classes
    MatrixOps
  32. def apply(f: (Int, Int, Double) ⇒ Double): Matrix

    A version of function apply with default AUTO treatment of evalZeros.

    A version of function apply with default AUTO treatment of evalZeros.

    Definition Classes
    MatrixOps
  33. def apply(f: (Double) ⇒ Double): Matrix

    A version of function apply with default AUTO treatment of evalZeros.

    A version of function apply with default AUTO treatment of evalZeros.

    Definition Classes
    MatrixOps
  34. def apply(f: (Int, Int, Double) ⇒ Double, evalZeros: T): Matrix

    Apply a function element-wise without side-effects to the argument (creates a new matrix).

    Apply a function element-wise without side-effects to the argument (creates a new matrix).

    f

    element-wise function (row, column, value) ⇒ "new value"

    evalZeros

    Do we have to process zero elements? true, false, auto: if auto, we will test the supplied function for f(0) != 0, and depending on the result, will decide if we want evaluation for zero elements. WARNING: the AUTO setting may not always work correctly for functions that are meant to run in a specific backend context, or non-deterministic functions, such as {-1,0,1} random generators.

    returns

    new DRM with the element-wise function applied.

    Definition Classes
    MatrixOps
  35. def apply(f: (Double) ⇒ Double, evalZeros: T): Matrix

    Apply a function element-wise without side-effects to the argument (creates a new matrix).

    Apply a function element-wise without side-effects to the argument (creates a new matrix).

    f

    element-wise function "value" ⇒ "new value"

    evalZeros

    Do we have to process zero elements? true, false, auto: if auto, we will test the supplied function for f(0) != 0, and depending on the result, will decide if we want evaluation for zero elements. WARNING: the AUTO setting may not always work correctly for functions that are meant to run in a specific backend context, or non-deterministic functions, such as {-1,0,1} random generators.

    returns

    new DRM with the element-wise function applied.

    Definition Classes
    MatrixOps
  36. def apply(rowRange: Range, col: Int): Vector

    Definition Classes
    MatrixOps
  37. def apply(row: Int, colRange: Range): Vector

    Definition Classes
    MatrixOps
  38. def apply(rowRange: Range, colRange: Range): Matrix

    Definition Classes
    MatrixOps
  39. def apply(row: Int, col: Int): Double

    Definition Classes
    MatrixOps
  40. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  41. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. def cloned: Matrix

    Definition Classes
    MatrixOps
  43. def colMeans(): Vector

    Definition Classes
    MatrixOps
  44. def colSums(): Vector

    Definition Classes
    MatrixOps
  45. def det: Double

    Definition Classes
    MatrixOps
  46. def diagv: Vector

    Definition Classes
    MatrixOps
  47. def diagv_=(that: Double): Vector

    Definition Classes
    MatrixOps
  48. def diagv_=(that: Vector): Vector

    Definition Classes
    MatrixOps
  49. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  50. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  51. def equiv(that: Matrix): Boolean

    Ideally, we would probably want to override equals().

    Ideally, we would probably want to override equals(). But that is not possible without modifying AbstractMatrix implementation in Mahout which would require discussion at Mahout team.

    that
    returns

    Definition Classes
    MatrixOps
  52. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  53. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  54. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  55. def isFullRank: Boolean

    test if rank == min(nrow,ncol).

    test if rank == min(nrow,ncol).

    returns

    Definition Classes
    MatrixOps
  56. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  57. val m: Matrix

    Definition Classes
    MatrixOps
  58. def ncol: Int

    Definition Classes
    MatrixOps
  59. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  60. def nequiv(that: Matrix): Boolean

    Definition Classes
    MatrixOps
  61. def norm: Double

    Definition Classes
    MatrixOps
  62. final def notify(): Unit

    Definition Classes
    AnyRef
  63. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  64. def nrow: Int

    Definition Classes
    MatrixOps
  65. def numNonZeroElementsPerColumn(): Vector

    Definition Classes
    MatrixOps
  66. def numNonZeroElementsPerRow(): Vector

    Definition Classes
    MatrixOps
  67. def pnorm(p: Int): Double

    Definition Classes
    MatrixOps
  68. def rowMeans(): Vector

    Definition Classes
    MatrixOps
  69. def rowSums(): Vector

    Definition Classes
    MatrixOps
  70. def sum: Double

    Definition Classes
    MatrixOps
  71. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  72. def t: Matrix

    Warning: This provides read-only view only.

    Warning: This provides read-only view only. In most cases that's what one wants. To get a copy, use m.t cloned

    returns

    transposed view

    Definition Classes
    MatrixOps
  73. def toString(): String

    Definition Classes
    AnyRef → Any
  74. def unary_-: Matrix

    Warning: this creates a clone (as in mx * -1), in many applications inplace inversion mx *= -1 might be an infinitely better choice.

    Warning: this creates a clone (as in mx * -1), in many applications inplace inversion mx *= -1 might be an infinitely better choice.

    Definition Classes
    MatrixOps
  75. def update(rowRange: Range, col: Int, that: Vector): Vector

    Definition Classes
    MatrixOps
  76. def update(row: Int, colRange: Range, that: Vector): Vector

    Definition Classes
    MatrixOps
  77. def update(rowRange: Range, colRange: Range, that: Matrix): Matrix

    Definition Classes
    MatrixOps
  78. def update(rowRange: Range, col: Int, that: Double): Vector

    Definition Classes
    MatrixOps
  79. def update(row: Int, colRange: Range, that: Double): Vector

    Definition Classes
    MatrixOps
  80. def update(rowRange: Range, colRange: Range, that: Double): Matrix

    Definition Classes
    MatrixOps
  81. def update(row: Int, col: Int, that: Double): Matrix

    Definition Classes
    MatrixOps
  82. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  83. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  84. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MatrixOps

Inherited from AnyRef

Inherited from Any

Ungrouped