cc.factorie.la

MutableSingletonBinaryTensor3

class MutableSingletonBinaryTensor3 extends Tensor3 with SingletonBinaryTensor

Linear Supertypes
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. MutableSingletonBinaryTensor3
  2. SingletonBinaryTensor
  3. SingletonTensor
  4. ReadOnlyTensor
  5. SparseBinaryTensor
  6. SparseTensor
  7. SparseDoubleSeq
  8. Tensor3
  9. Tensor
  10. Serializable
  11. Serializable
  12. MutableDoubleSeq
  13. IncrementableDoubleSeq
  14. DoubleSeq
  15. AnyRef
  16. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new MutableSingletonBinaryTensor3(dim1: Int, dim2: Int, dim3: Int, singleIndex1: Int, singleIndex2: Int, singleIndex3: Int)

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]): MutableSingletonBinaryTensor3.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
    SingletonBinaryTensorSparseDoubleSeqDoubleSeq
  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 _valuesSeq: DoubleSeq

    Definition Classes
    SparseBinaryTensorSparseTensor
  40. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  41. def activeDomain: SingletonIntSeq

  42. def activeDomain1: SingletonIntSeq

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  43. def activeDomain2: SingletonIntSeq

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  44. def activeDomain3: SingletonIntSeq

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  45. val activeDomainSize: Int

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

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

    Definition Classes
    SingletonBinaryTensorTensor
  48. 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
  49. def apply(i: Int): Double

    Definition Classes
    SingletonBinaryTensorDoubleSeq
  50. def apply(i: Int, j: Int, k: Int): Double

    Definition Classes
    Tensor3
  51. 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
  52. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  54. def blankCopy: Tensor3

    Definition Classes
    Tensor3Tensor
  55. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  57. def containsNaN: Boolean

  58. def copy: MutableSingletonBinaryTensor3

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3Tensor
  59. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  60. 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
  61. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  62. val dim1: Int

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  63. val dim2: Int

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  64. val dim3: Int

    Definition Classes
    MutableSingletonBinaryTensor3Tensor3
  65. def dimensions: Array[Int]

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

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

    Definition Classes
    SingletonBinaryTensorTensor
  68. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor3Tensor
  69. 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
  70. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  73. 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
  74. 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
  75. def expNormalized: Tensor

    Definition Classes
    Tensor
  76. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  77. def finalize(): Unit

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

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

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

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

    Definition Classes
    SingletonBinaryTensorTensorSparseDoubleSeq
  82. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

    Definition Classes
    SingletonBinaryTensorDoubleSeq
  85. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  92. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  93. def isDense: Boolean

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

    Definition Classes
    Any
  95. def isUniform: Boolean

    Definition Classes
    Tensor
  96. 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
  97. 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
  98. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  99. final def length: Int

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

    Definition Classes
    DoubleSeq
  101. def max: Double

  102. def maxIndex: Int

  103. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  104. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  105. def min: Double

  106. def mkString: String

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

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

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

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

    Definition Classes
    AnyRef
  111. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  112. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  113. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  116. def numDimensions: Int

    Definition Classes
    Tensor3Tensor
  117. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  118. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  120. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  122. 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
  123. def singleIndex: Int

  124. final def singleIndex(i: Int, j: Int, k: Int): Int

    Definition Classes
    Tensor3
    Annotations
    @inline()
  125. var singleIndex1: Int

  126. var singleIndex2: Int

  127. var singleIndex3: Int

  128. def singleValue: Double

    Definition Classes
    SingletonBinaryTensorSingletonTensor
  129. final def size: Int

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

    Definition Classes
    SingletonTensorSparseTensor
  131. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  133. def sum: Double

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

    Definition Classes
    AnyRef
  135. 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
  136. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  137. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  138. 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
  139. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  140. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  141. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  142. def twoSquaredNormalize(): Double

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

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

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

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

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

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

Inherited from SingletonBinaryTensor

Inherited from SingletonTensor

Inherited from ReadOnlyTensor

Inherited from SparseBinaryTensor

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