cc.factorie.la

SparseIndexedTensor

trait SparseIndexedTensor extends SparseTensor

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Inherited
  1. SparseIndexedTensor
  2. SparseTensor
  3. Tensor
  4. Serializable
  5. Serializable
  6. MutableDoubleSeq
  7. IncrementableDoubleSeq
  8. SparseDoubleSeq
  9. DoubleSeq
  10. AnyRef
  11. Any
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Abstract Value Members

  1. abstract def +=(i: Int, incr: Double): Unit

  2. abstract def _indices: Array[Int]

    Definition Classes
    SparseTensor
  3. abstract def _makeReadable(): Unit

    Definition Classes
    SparseTensor
  4. abstract def _unsafeActiveDomainSize: Int

    Definition Classes
    SparseTensor
  5. abstract def _values: Array[Double]

  6. abstract def activeDomain: IntSeq

    Definition Classes
    Tensor
  7. abstract def activeDomainSize: Int

    Definition Classes
    Tensor
  8. abstract def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor
  9. abstract def apply(i: Int): Double

    Definition Classes
    DoubleSeq
  10. abstract def blankCopy: Tensor

    Definition Classes
    Tensor
  11. abstract def copy: Tensor

    Definition Classes
    Tensor
  12. abstract def dimensions: Array[Int]

    Definition Classes
    Tensor
  13. abstract def dot(ds: DoubleSeq): Double

    Definition Classes
    Tensor
  14. abstract def foreachActiveElement(f: (Int, Double) ⇒ Unit): Unit

    Definition Classes
    DoubleSeq
  15. abstract def length: Int

    Definition Classes
    DoubleSeq
  16. abstract def numDimensions: Int

    Definition Classes
    Tensor
  17. abstract def sizeHint(size: Int): Unit

    Definition Classes
    SparseTensor
  18. abstract def update(i: Int, v: Double): Unit

    Definition Classes
    TensorMutableDoubleSeq
  19. abstract def zero(): Unit

Concrete 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. def *(v: Double): Tensor

    Definition Classes
    Tensor
  5. def *=(ds: DoubleSeq): Unit

    Definition Classes
    MutableDoubleSeq
  6. def *=(d: Double): Unit

    Definition Classes
    MutableDoubleSeq
  7. def *=(i: Int, incr: Double): Unit

    Definition Classes
    MutableDoubleSeq
  8. def +(that: Tensor): Tensor

    Definition Classes
    Tensor
  9. def ++=(tensors: Iterable[Tensor]): SparseIndexedTensor.this.type

    Definition Classes
    Tensor
  10. def +=(ds: DoubleSeq, factor: DoubleSeq): Unit

    Increment by the element-wise product of ds and factor.

    Increment by the element-wise product of ds and factor.

    Definition Classes
    IncrementableDoubleSeq
  11. def +=(a: Array[Double], factor: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  12. def +=(ds: DoubleSeq, factor: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  13. def +=(a: Array[Double]): Unit

    Definition Classes
    IncrementableDoubleSeq
  14. final def +=(ds: DoubleSeq): Unit

    Definition Classes
    IncrementableDoubleSeq
  15. def +=(d: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  16. def -(that: Tensor): Tensor

    Definition Classes
    Tensor
  17. def -=(ds: DoubleSeq): Unit

    Definition Classes
    IncrementableDoubleSeq
  18. final def -=(d: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  19. def -=(i: Int, incr: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  20. def /(v: Double): Tensor

    Definition Classes
    Tensor
  21. def /=(ds: DoubleSeq): Unit

    Definition Classes
    MutableDoubleSeq
  22. final def /=(d: Double): Unit

    Definition Classes
    MutableDoubleSeq
  23. final def /=(i: Int, incr: Double): Unit

    Definition Classes
    MutableDoubleSeq
  24. def :=(a: Array[Double], offset: Int): Unit

    Definition Classes
    MutableDoubleSeq
  25. def :=(a: Array[Double]): Unit

    Definition Classes
    MutableDoubleSeq
  26. def :=(ds: DoubleSeq): Unit

    Definition Classes
    MutableDoubleSeq
  27. def :=(d: Double): Unit

    Definition Classes
    MutableDoubleSeq
  28. def =+(a: Array[Double], offset: Int, f: Double): Unit

    Increment given array (starting at offset index) with contents of this DoubleSeq, multiplied by factor f.

    Increment given array (starting at offset index) with contents of this DoubleSeq, multiplied by factor f.

    Definition Classes
    SparseDoubleSeqDoubleSeq
  29. final def =+(a: Array[Double], f: Double): Unit

    Definition Classes
    DoubleSeq
  30. final def =+(a: Array[Double], offset: Int): Unit

    Definition Classes
    DoubleSeq
  31. final def =+(a: Array[Double]): Unit

    Definition Classes
    DoubleSeq
  32. final def ==(arg0: AnyRef): Boolean

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

    Definition Classes
    Any
  34. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  35. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  36. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    Tensor
  37. def addString(b: StringBuilder, start: String, sep: String, end: String): StringBuilder

    Append a string representation of this DoubleSeq to the StringBuilder.

    Append a string representation of this DoubleSeq to the StringBuilder.

    Definition Classes
    DoubleSeq
  38. def asArray: Array[Double]

    Return the values as an Array[Double].

    Return the values as an Array[Double]. Not guaranteed to be a copy; in fact if it is possible to return a pointer to an internal array, it will simply return this.

    Definition Classes
    DoubleSeq
  39. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  40. def asSeq: Seq[Double]

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  41. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. def contains(d: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  43. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  44. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  45. def defaultValue: Double

    The default value at indices not covered by activeDomain.

    The default value at indices not covered by activeDomain. Subclasses may override this

    Definition Classes
    Tensor
  46. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  47. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor
  48. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor
  49. def entropy: Double

    Assumes that the values are already normalized to sum to 1.

    Assumes that the values are already normalized to sum to 1.

    Definition Classes
    SparseDoubleSeqDoubleSeq
  50. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  52. def exists(f: (Double) ⇒ Boolean): Boolean

    Definition Classes
    Tensor
  53. def expNormalize(logZ: Double): Unit

    Exponential the elements of the array such that they are normalized to sum to one, but do so efficiently by providing logZ.

    Exponential the elements of the array such that they are normalized to sum to one, but do so efficiently by providing logZ. Note that to maximize efficiency, this method does not verify that the logZ value was the correct one to cause proper normalization.

    Definition Classes
    MutableDoubleSeq
  54. def expNormalize(): Double

    Exponentiate the elements of the array, and then normalize them to sum to one.

    Exponentiate the elements of the array, and then normalize them to sum to one.

    Definition Classes
    MutableDoubleSeq
  55. def expNormalized: Tensor

    Definition Classes
    Tensor
  56. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  57. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  58. def foldActiveElements(seed: Double, f: (Int, Double, Double) ⇒ Double): Double

    Definition Classes
    Tensor
  59. def foldLeft[B](z: B)(f: (B, Double) ⇒ B): B

    Definition Classes
    DoubleSeq
  60. def forall(f: (Double) ⇒ Boolean): Boolean

    Definition Classes
    DoubleSeq
  61. def forallActiveElements(f: (Int, Double) ⇒ Boolean): Boolean

    Definition Classes
    SparseDoubleSeq
  62. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

    Definition Classes
    DoubleSeq
  63. def foreach(f: (Double) ⇒ Unit): Unit

    Definition Classes
    DoubleSeq
  64. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

    Definition Classes
    DoubleSeq
  65. final def getClass(): Class[_]

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

    Definition Classes
    AnyRef → Any
  67. def indexOf(d: Double): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  68. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  69. def isDense: Boolean

    Definition Classes
    SparseTensorTensor
  70. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  71. def isUniform: Boolean

    Definition Classes
    Tensor
  72. def jsDivergence(p: DoubleSeq): Double

    Assumes that the values are already normalized to sum to 1.

    Assumes that the values are already normalized to sum to 1.

    Definition Classes
    SparseDoubleSeqDoubleSeq
  73. def klDivergence(p: DoubleSeq): Double

    Assumes that the values in both DoubleSeq are already normalized to sum to 1.

    Assumes that the values in both DoubleSeq are already normalized to sum to 1.

    Definition Classes
    SparseDoubleSeqDoubleSeq
  74. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  75. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  76. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  77. def maxIndex: Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  78. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  79. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  80. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  81. def mkString: String

    Definition Classes
    DoubleSeq
  82. def mkString(sep: String): String

    Definition Classes
    DoubleSeq
  83. def mkString(start: String, sep: String, end: String): String

    Definition Classes
    DoubleSeq
  84. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  85. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  86. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  87. def normalized: Tensor

    Definition Classes
    Tensor
  88. final def notify(): Unit

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

    Definition Classes
    AnyRef
  90. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  91. def oneNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  92. def outer(t: Tensor): Tensor

    Definition Classes
    Tensor
  93. def printLength: Int

    Definition Classes
    Tensor
  94. def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  95. def sampleIndex(implicit r: Random): Int

    Careful, for many subclasses this is inefficient because it calls the method "sum" to get the normalizer.

    Careful, for many subclasses this is inefficient because it calls the method "sum" to get the normalizer.

    Definition Classes
    DoubleSeq
  96. final def size: Int

    Definition Classes
    DoubleSeq
  97. def stringPrefix: String

    Definition Classes
    Tensor
  98. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  99. def sum: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  100. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  101. def toArray: Array[Double]

    Return the values as an Array[Double].

    Return the values as an Array[Double]. Guaranteed to be a copy, not just a pointer to an internal array that would change with changes to the DoubleSeq

    Definition Classes
    SparseDoubleSeqDoubleSeq
  102. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  103. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  104. def top(n: Int): TopN[String]

    Return records for the n elements with the largest values.

    Return records for the n elements with the largest values.

    Definition Classes
    DoubleSeq
  105. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  106. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  107. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  108. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  109. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from SparseTensor

Inherited from Tensor

Inherited from Serializable

Inherited from Serializable

Inherited from MutableDoubleSeq

Inherited from IncrementableDoubleSeq

Inherited from SparseDoubleSeq

Inherited from DoubleSeq

Inherited from AnyRef

Inherited from Any

Ungrouped