cc.factorie.variable.DiscreteDomain

DiscreteValue

class DiscreteValue extends variable.DiscreteValue

Attributes
protected
Linear Supertypes
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Inherited
  1. DiscreteValue
  2. DiscreteValue
  3. SingletonBinaryTensorLike1
  4. SingletonBinaryTensor
  5. SingletonTensor
  6. ReadOnlyTensor
  7. SparseBinaryTensor
  8. SparseTensor
  9. SparseDoubleSeq
  10. Tensor1
  11. Tensor
  12. Serializable
  13. Serializable
  14. MutableDoubleSeq
  15. IncrementableDoubleSeq
  16. DoubleSeq
  17. AnyRef
  18. Any
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  1. Public
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Instance Constructors

  1. new DiscreteValue(singleIndex: Int)

Value Members

  1. final def !=(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. def *(t: la.Tensor2): la.Tensor1

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

    Definition Classes
    Tensor1Tensor
  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 +(t: la.Tensor1): la.Tensor1

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

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

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

  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 -(t: la.Tensor1): la.Tensor1

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    SingletonTensorSparseTensor
  37. def _makeReadable(): Unit

    Definition Classes
    SingletonTensorSparseTensor
  38. def _rawArray: Array[Double]

    Return the values as an Array[Double] whose length may be longer than this.length.

    Return the values as an Array[Double] whose length may be longer than this.length.

    Definition Classes
    DoubleSeq
  39. def _unsafeActiveDomainSize: Int

    Definition Classes
    SingletonTensorSparseTensor
  40. def _valuesSeq: DoubleSeq

    Definition Classes
    SparseBinaryTensorSparseTensor
  41. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  42. def activeDomain: SingletonIntSeq

  43. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  44. val activeDomainSize: Int

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

    Definition Classes
    Tensor1Tensor
  46. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    SingletonBinaryTensorTensor
  47. 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
  48. def apply(i: Int): Double

    Definition Classes
    SingletonBinaryTensorDoubleSeq
  49. 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
  50. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  52. def blankCopy: la.Tensor1

    Definition Classes
    Tensor1Tensor
  53. final def booleanValue: Boolean

    Definition Classes
    DiscreteValue
    Annotations
    @inline()
  54. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  56. def containsNaN: Boolean

  57. def copy: la.Tensor1

    Definition Classes
    Tensor1Tensor
  58. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  59. 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
  60. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  61. def dim1: Int

    Definition Classes
    DiscreteValueTensor1
  62. def dimensions: Array[Int]

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

    Definition Classes
    Tensor1Tensor
  64. def domain: DiscreteDomain

  65. def dot(t: DoubleSeq): Double

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

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

    Definition Classes
    AnyRef
  69. def equals(other: Any): Boolean

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

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

    Definition Classes
    Tensor
  74. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  75. def filter(f: (Double) ⇒ Boolean): DoubleSeq

    Definition Classes
    DoubleSeq
  76. def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  88. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  89. final def intValue: Int

    Definition Classes
    DiscreteValue
    Annotations
    @inline()
  90. def isDense: Boolean

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

    Definition Classes
    Any
  92. def isUniform: Boolean

    Definition Classes
    Tensor
  93. 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
  94. 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
  95. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  96. final def length: Int

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

    Definition Classes
    DoubleSeq
  98. def max: Double

  99. def maxIndex: Int

  100. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  101. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  102. def min: Double

  103. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  107. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  108. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  109. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  112. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  113. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  114. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  116. def printLength: Int

    Definition Classes
    Tensor
  117. def project(maxNorm: Double): Double

    Definition Classes
    MutableDoubleSeq
  118. def projected(maxNorm: Double): Tensor

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  121. 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
  122. val singleIndex: Int

  123. def singleValue: Double

    Definition Classes
    SingletonBinaryTensorSingletonTensor
  124. final def size: Int

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

    Definition Classes
    SingletonTensorSparseTensor
  126. def stringPrefix: String

    Definition Classes
    Tensor1Tensor
  127. def substitute(f: (Double) ⇒ Double): DiscreteValue.this.type

    Like map, but it changes in place.

    Like map, but it changes in place.

    Definition Classes
    MutableDoubleSeq
  128. def substitute(oldValue: Double, newValue: Double): DiscreteValue.this.type

    Change all occurrences of oldValue to newValue.

    Change all occurrences of oldValue to newValue.

    Definition Classes
    MutableDoubleSeq
  129. def sum: Double

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

    Definition Classes
    AnyRef
  131. 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
  132. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  133. def toString(): String

    Definition Classes
    DiscreteValueTensor → AnyRef → Any
  134. 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
  135. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  136. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  137. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  138. def twoSquaredNormalize(): Double

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

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

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

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

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

Inherited from variable.DiscreteValue

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