nak.classify

LFMatrix

class LFMatrix[L, TF] extends NumericOps[LFMatrix[L, TF]] with Serializable

This stupidly named class is a Label-Feature Matrix, which is to say that it's a the weight matrix used by most of the classifier trainers. It's basically a matrix with one row per label, and the rows are some Tensor type (TF). TF is a mnemonic for Feature Tensor.

L

label type

TF

feature tensor type

Annotations
@SerialVersionUID( 1L )
Linear Supertypes
Serializable, Serializable, NumericOps[LFMatrix[L, TF]], AnyRef, Any
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Inherited
  1. LFMatrix
  2. Serializable
  3. Serializable
  4. NumericOps
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LFMatrix(emptyTF: ⇒ TF, labelIndex: Index[L])(implicit arg0: ClassTag[TF])

  2. new LFMatrix(data: Array[TF], emptyTF: ⇒ TF, labelIndex: Index[L])(implicit arg0: ClassTag[TF])

    data

    array of weights for each label

    emptyTF

    an empty weight vector, used for creating zeros dense vectors

    labelIndex

    label index

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 %[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpMod, That]): That

    Definition Classes
    NumericOps

  5. final def %=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpMod]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  6. final def &[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpAnd, That]): That

    Definition Classes
    NumericOps

  7. final def &=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpAnd]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  8. final def *[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpMulMatrix, That]): That

    Definition Classes
    NumericOps

  9. final def *=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpMulScalar]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  10. final def +[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpAdd, That]): That

    Definition Classes
    NumericOps

  11. final def +=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpAdd]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  12. final def -[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpSub, That]): That

    Definition Classes
    NumericOps

  13. final def -=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpSub]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  14. final def /[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpDiv, That]): That

    Definition Classes
    NumericOps

  15. final def /=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpDiv]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  16. final def :!=[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpNe, That]): That

    Definition Classes
    NumericOps

  17. final def :%[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpMod, That]): That

    Definition Classes
    NumericOps

  18. final def :%=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpMod]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  19. final def :&[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpAnd, That]): That

    Definition Classes
    NumericOps

  20. final def :&=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpAnd]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  21. final def :*[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpMulScalar, That]): That

    Definition Classes
    NumericOps

  22. final def :*=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpMulScalar]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  23. final def :+[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpAdd, That]): That

    Definition Classes
    NumericOps

  24. final def :+=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpAdd]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  25. final def :-[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpSub, That]): That

    Definition Classes
    NumericOps

  26. final def :-=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpSub]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  27. final def :/[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpDiv, That]): That

    Definition Classes
    NumericOps

  28. final def :/=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpDiv]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  29. final def :<[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpLT, That]): That

    Definition Classes
    NumericOps

  30. final def :<=[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpLTE, That]): That

    Definition Classes
    NumericOps

  31. final def :=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpSet]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  32. final def :==[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpEq, That]): That

    Definition Classes
    NumericOps

  33. final def :>[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpGT, That]): That

    Definition Classes
    NumericOps

  34. final def :>=[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpGTE, That]): That

    Definition Classes
    NumericOps

  35. final def :^[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpPow, That]): That

    Definition Classes
    NumericOps

  36. final def :^=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpPow]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  37. final def :^^[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpXor, That]): That

    Definition Classes
    NumericOps

  38. final def :^^=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpXor]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  39. final def :|[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpOr, That]): That

    Definition Classes
    NumericOps

  40. final def :|=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpOr]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  41. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  43. def \[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpSolveMatrixBy, That]): That

    Definition Classes
    NumericOps

  44. final def ^^[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpXor, That]): That

    Definition Classes
    NumericOps

  45. final def ^^=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpXor]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

  46. def apply(label: Int): TF

  47. def apply(label: L): TF

  48. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  49. def clone(): AnyRef

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

  50. val data: Array[TF]

    array of weights for each label

  51. final def dot[TT >: LFMatrix[L, TF], B, BB >: B, That](b: B)(implicit op: BinaryOp[TT, BB, OpMulInner, That]): That

    Definition Classes
    NumericOps

  52. def empty: LFMatrix[L, TF]

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

    Definition Classes
    AnyRef

  54. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  55. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  57. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  58. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  59. val labelIndex: Index[L]

    label index

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

    Definition Classes
    AnyRef

  61. final def notify(): Unit

    Definition Classes
    AnyRef

  62. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  63. def numLabels: Int

  64. def repr: LFMatrix[L, TF]

    Definition Classes
    LFMatrix → NumericOps

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

    Definition Classes
    AnyRef

  66. final def t[TT >: LFMatrix[L, TF], That, Slice1, Slice2, Result](a: Slice1, b: Slice2)(implicit op: CanTranspose[TT, That], canSlice: CanSlice2[That, Slice1, Slice2, Result]): Result

    Definition Classes
    NumericOps

  67. final def t[TT >: LFMatrix[L, TF], That](implicit op: CanTranspose[TT, That]): That

    Definition Classes
    NumericOps

  68. def toString(): String

    Definition Classes
    LFMatrix → AnyRef → Any

  69. final def unary_![TT >: LFMatrix[L, TF], That](implicit op: UnaryOp[TT, OpNot, That]): That

    Definition Classes
    NumericOps

  70. final def unary_-[TT >: LFMatrix[L, TF], That](implicit op: UnaryOp[TT, OpNeg, That]): That

    Definition Classes
    NumericOps

  71. def unindexed: UnindexedLFMatrix[L, TF]

  72. def update(label: Int, tf: TF): Unit

  73. def update(label: L, tf: TF): Unit

  74. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  77. final def |[TT >: LFMatrix[L, TF], B, That](b: B)(implicit op: BinaryOp[TT, B, OpOr, That]): That

    Definition Classes
    NumericOps

  78. final def |=[TT >: LFMatrix[L, TF], B](b: B)(implicit op: BinaryUpdateOp[TT, B, OpOr]): LFMatrix[L, TF]

    Definition Classes
    NumericOps

Inherited from Serializable

Inherited from Serializable

Inherited from NumericOps[LFMatrix[L, TF]]

Inherited from AnyRef

Inherited from Any

Ungrouped