cc.factorie.variable

DiscreteValue

trait DiscreteValue extends SingletonBinaryTensorLike1

A value in a DiscreteDomain. Conceptually it is a single integer value ranging from 0 to the domain size minus one. But it is also a Tensor1, of length domain.size, with 0s in all positions except its integer value; this facilitates its use in various tensor statistics operations.

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Inherited
  1. DiscreteValue
  2. SingletonBinaryTensorLike1
  3. SingletonBinaryTensor
  4. SingletonTensor
  5. ReadOnlyTensor
  6. SparseBinaryTensor
  7. SparseTensor
  8. SparseDoubleSeq
  9. Tensor1
  10. Tensor
  11. Serializable
  12. Serializable
  13. MutableDoubleSeq
  14. IncrementableDoubleSeq
  15. DoubleSeq
  16. AnyRef
  17. Any
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Abstract Value Members

  1. abstract def dim1: Int

    Definition Classes
    Tensor1
  2. abstract def singleIndex: Int

    Definition Classes
    SingletonBinaryTensorSingletonTensor

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 *(t: la.Tensor2): la.Tensor1

    Definition Classes
    Tensor1
  5. def *(f: Double): la.Tensor1

    Definition Classes
    Tensor1Tensor
  6. def *=(ds: DoubleSeq): Unit

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

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

    Definition Classes
    MutableDoubleSeq
  9. def +(t: la.Tensor1): la.Tensor1

    Definition Classes
    Tensor1
  10. def +(that: Tensor): Tensor

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

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

  13. 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
  14. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  19. def -(t: la.Tensor1): la.Tensor1

    Definition Classes
    Tensor1
  20. def -(that: Tensor): Tensor

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  24. def /(f: Double): la.Tensor1

    Definition Classes
    Tensor1Tensor
  25. def /=(ds: DoubleSeq): Unit

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

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  32. 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
  33. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

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

    Definition Classes
    SingletonTensorSparseTensor
  39. def _makeReadable(): Unit

    Definition Classes
    SingletonTensorSparseTensor
  40. def _unsafeActiveDomainSize: Int

    Definition Classes
    SingletonTensorSparseTensor
  41. def _valuesSeq: DoubleSeq

    Definition Classes
    SparseBinaryTensorSparseTensor
  42. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  43. def activeDomain: SingletonIntSeq

  44. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  45. val activeDomainSize: Int

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

    Definition Classes
    Tensor1Tensor
  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 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
  51. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  53. def blankCopy: la.Tensor1

    Definition Classes
    Tensor1Tensor
  54. final def booleanValue: Boolean

    Annotations
    @inline()
  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: la.Tensor1

    Definition Classes
    Tensor1Tensor
  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. def dimensions: Array[Int]

    Definition Classes
    Tensor1Tensor
  63. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor1Tensor
  64. def dot(t: DoubleSeq): Double

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

    Definition Classes
    Tensor1Tensor
  66. 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
  67. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  70. 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
  71. 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
  72. def expNormalized: Tensor

    Definition Classes
    Tensor
  73. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  74. def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  86. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  87. final def intValue: Int

    Annotations
    @inline()
  88. def isDense: Boolean

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

    Definition Classes
    Any
  90. def isUniform: Boolean

    Definition Classes
    Tensor
  91. 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
  92. 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
  93. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  94. final def length: Int

    Definition Classes
    Tensor1DoubleSeq
    Annotations
    @inline()
  95. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  96. def max: Double

  97. def maxIndex: Int

  98. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  99. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  100. def min: Double

  101. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  105. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  106. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  107. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  110. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  111. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  112. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  114. def printLength: Int

    Definition Classes
    Tensor
  115. def reshape(dim: Array[Int]): Tensor

    Definition Classes
    Tensor1
  116. def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  117. 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
  118. def singleValue: Double

    Definition Classes
    SingletonBinaryTensorSingletonTensor
  119. final def size: Int

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

    Definition Classes
    SingletonTensorSparseTensor
  121. def stringPrefix: String

    Definition Classes
    Tensor1Tensor
  122. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  123. def sum: Double

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

    Definition Classes
    AnyRef
  125. 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
  126. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  127. def toString(): String

    Definition Classes
    DiscreteValueTensor → AnyRef → Any
  128. 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
  129. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  130. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  131. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  132. def twoSquaredNormalize(): Double

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

    Definition Classes
    ReadOnlyTensorTensorMutableDoubleSeq
  134. final def wait(): Unit

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

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

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

Inherited from SingletonBinaryTensor

Inherited from SingletonTensor

Inherited from ReadOnlyTensor

Inherited from SparseBinaryTensor

Inherited from SparseTensor

Inherited from SparseDoubleSeq

Inherited from la.Tensor1

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