cc.factorie.la

SingletonTensor3

class SingletonTensor3 extends Tensor3 with SingletonIndexedTensor

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Inherited
  1. SingletonTensor3
  2. SingletonIndexedTensor
  3. SingletonTensor
  4. ReadOnlyTensor
  5. SparseIndexedTensor
  6. SparseTensor
  7. SparseDoubleSeq
  8. Tensor3
  9. Tensor
  10. Serializable
  11. Serializable
  12. MutableDoubleSeq
  13. IncrementableDoubleSeq
  14. DoubleSeq
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SingletonTensor3(dim1: Int, dim2: Int, dim3: Int, singleIndex1: Int, singleIndex2: Int, singleIndex3: Int, singleValue: Double)

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]): SingletonTensor3.this.type

    Definition Classes
    Tensor
  10. def +=(i: Int, incr: Double): Unit

  11. def +=(i: Int, j: Int, k: Int, v: Double): Unit

    Definition Classes
    Tensor3
  12. 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
  13. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  30. 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
    SingletonIndexedTensorSparseDoubleSeqDoubleSeq
  31. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

    Definition Classes
    Any
  36. def _indices: Array[Int]

    Definition Classes
    SingletonTensorSparseTensor
  37. def _makeReadable(): Unit

    Definition Classes
    SingletonTensorSparseTensor
  38. def _unsafeActiveDomainSize: Int

    Definition Classes
    SingletonTensorSparseTensor
  39. def _values: Array[Double]

  40. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  41. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  42. def activeDomain: IntSeq

    Definition Classes
    SingletonTensor3SparseDoubleSeqTensor
  43. def activeDomain1: SingletonIntSeq

    Definition Classes
    SingletonTensor3Tensor3
  44. def activeDomain2: SingletonIntSeq

    Definition Classes
    SingletonTensor3Tensor3
  45. def activeDomain3: SingletonIntSeq

    Definition Classes
    SingletonTensor3Tensor3
  46. val activeDomainSize: Int

    Definition Classes
    SingletonTensorTensorSparseDoubleSeq
  47. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor3Tensor
  48. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    SingletonIndexedTensorTensor
  49. 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
  50. def apply(i: Int): Double

    Definition Classes
    SingletonIndexedTensorDoubleSeq
  51. def apply(i: Int, j: Int, k: Int): Double

    Definition Classes
    Tensor3
  52. 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
  53. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  55. def blankCopy: Tensor3

    Definition Classes
    Tensor3Tensor
  56. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  58. def containsNaN: Boolean

  59. def copy: SingletonTensor3

    Definition Classes
    SingletonTensor3Tensor3Tensor
  60. def copyInto(t: SparseIndexedTensor): Unit

    Definition Classes
    SingletonIndexedTensor
  61. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  62. 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
  63. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  64. val dim1: Int

    Definition Classes
    SingletonTensor3Tensor3
  65. val dim2: Int

    Definition Classes
    SingletonTensor3Tensor3
  66. val dim3: Int

    Definition Classes
    SingletonTensor3Tensor3
  67. def dimensions: Array[Int]

    Definition Classes
    Tensor3Tensor
  68. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor3Tensor
  69. def dot(t: DoubleSeq): Double

    Definition Classes
    SingletonIndexedTensorTensor
  70. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor3Tensor
  71. 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
  72. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  75. 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
  76. 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
  77. def expNormalized: Tensor

    Definition Classes
    Tensor
  78. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  79. def finalize(): Unit

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

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

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

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

    Definition Classes
    SingletonIndexedTensorTensorSparseDoubleSeq
  84. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

    Definition Classes
    DoubleSeq
  86. def foreachActiveElement(f: (Int, Double) ⇒ Unit): Unit

    Definition Classes
    SingletonIndexedTensorDoubleSeq
  87. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

    Definition Classes
    AnyRef → Any
  90. final def index1(i: Int): Int

    Definition Classes
    Tensor3
    Annotations
    @inline()
  91. final def index2(i: Int): Int

    Definition Classes
    Tensor3
    Annotations
    @inline()
  92. final def index3(i: Int): Int

    Definition Classes
    Tensor3
    Annotations
    @inline()
  93. def indexOf(d: Double): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  94. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  95. def isDense: Boolean

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

    Definition Classes
    Any
  97. def isUniform: Boolean

    Definition Classes
    Tensor
  98. 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
  99. 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
  100. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  101. final def length: Int

    Definition Classes
    Tensor3DoubleSeq
    Annotations
    @inline()
  102. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  103. def max: Double

  104. def maxIndex: Int

  105. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  106. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  107. def min: Double

  108. def mkString: String

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

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

    Definition Classes
    DoubleSeq
  111. final def multiIndex(i: Int): (Int, Int, Int)

    Definition Classes
    Tensor3
    Annotations
    @inline()
  112. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  113. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  114. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  115. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  118. def numDimensions: Int

    Definition Classes
    Tensor3Tensor
  119. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  120. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  122. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  124. 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
  125. final def singleIndex(i: Int, j: Int, k: Int): Int

    Definition Classes
    Tensor3
    Annotations
    @inline()
  126. val singleIndex: Int

    Definition Classes
    SingletonTensor3SingletonTensor
  127. val singleIndex1: Int

  128. val singleIndex2: Int

  129. val singleIndex3: Int

  130. val singleValue: Double

    Definition Classes
    SingletonTensor3SingletonTensor
  131. final def size: Int

    Definition Classes
    DoubleSeq
  132. def sizeHint(size: Int): Unit

    Definition Classes
    SingletonTensorSparseTensor
  133. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  135. def sum: Double

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

    Definition Classes
    AnyRef
  137. 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
  138. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  139. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  140. 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
  141. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  142. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  143. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  144. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  145. def update(i: Int, v: Double): Unit

    Definition Classes
    ReadOnlyTensorTensorMutableDoubleSeq
  146. def update(i: Int, j: Int, k: Int, v: Double): Unit

    Definition Classes
    Tensor3
  147. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  150. def zero(): Unit

Inherited from SingletonIndexedTensor

Inherited from SingletonTensor

Inherited from ReadOnlyTensor

Inherited from SparseIndexedTensor

Inherited from SparseTensor

Inherited from SparseDoubleSeq

Inherited from Tensor3

Inherited from Tensor

Inherited from Serializable

Inherited from Serializable

Inherited from MutableDoubleSeq

Inherited from IncrementableDoubleSeq

Inherited from DoubleSeq

Inherited from AnyRef

Inherited from Any

Ungrouped