cc.factorie.variable

RealValue

final class RealValue extends la.Tensor1 with SingletonIndexedTensor

A Tensor holding a single real (Double) value.

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Inherited
  1. RealValue
  2. SingletonIndexedTensor
  3. SingletonTensor
  4. ReadOnlyTensor
  5. SparseIndexedTensor
  6. SparseTensor
  7. SparseDoubleSeq
  8. Tensor1
  9. Tensor
  10. Serializable
  11. Serializable
  12. MutableDoubleSeq
  13. IncrementableDoubleSeq
  14. DoubleSeq
  15. AnyRef
  16. Any
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  1. Public
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Instance Constructors

  1. new RealValue(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 *(r: RealValue): RealValue

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  10. def +(r: RealValue): RealValue

  11. def +(t: la.Tensor1): la.Tensor1

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

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

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

  15. 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
  16. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  21. def -(r: RealValue): RealValue

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

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

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  27. def /(r: RealValue): RealValue

  28. def /(f: Double): la.Tensor1

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

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

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  36. 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
  37. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

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

    Definition Classes
    SingletonTensorSparseTensor
  43. def _makeReadable(): Unit

    Definition Classes
    SingletonTensorSparseTensor
  44. def _unsafeActiveDomainSize: Int

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

  46. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  47. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  48. def activeDomain: SingletonIntSeq

    Definition Classes
    RealValueSparseDoubleSeqTensor1Tensor
  49. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  50. val activeDomainSize: Int

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

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

    Definition Classes
    SingletonIndexedTensorTensor
  53. 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
  54. def apply(i: Int): Double

    Definition Classes
    SingletonIndexedTensorDoubleSeq
  55. 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
  56. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  58. def blankCopy: la.Tensor1

    Definition Classes
    Tensor1Tensor
  59. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  61. def containsNaN: Boolean

  62. def copy: la.Tensor1

    Definition Classes
    Tensor1Tensor
  63. def copyInto(t: SparseIndexedTensor): Unit

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

    Definition Classes
    Tensor
  65. 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
  66. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  67. def dim1: Int

    Definition Classes
    RealValueTensor1
    Annotations
    @inline()
  68. def dimensions: Array[Int]

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

    Definition Classes
    Tensor1Tensor
  70. def domain: RealDomain.type

  71. def dot(t: DoubleSeq): Double

    Definition Classes
    SingletonIndexedTensorTensor
  72. def doubleValue: Double

    Annotations
    @inline()
  73. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor1Tensor
  74. 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
  75. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  78. 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
  79. 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
  80. def expNormalized: Tensor

    Definition Classes
    Tensor
  81. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  82. def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  94. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  95. def intValue: Int

    Annotations
    @inline()
  96. def isDense: Boolean

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

    Definition Classes
    Any
  98. def isUniform: Boolean

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

    Definition Classes
    DoubleSeq
  102. final def length: Int

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

    Definition Classes
    DoubleSeq
  104. def max: Double

  105. def maxIndex: Int

  106. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  107. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  108. def min: Double

  109. def mkString: String

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

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

    Definition Classes
    DoubleSeq
  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
    Tensor1Tensor
  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 reshape(dim: Array[Int]): Tensor

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  125. 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
  126. def singleIndex: Int

    Definition Classes
    RealValueSingletonTensor
    Annotations
    @inline()
  127. val singleValue: Double

    Definition Classes
    RealValueSingletonTensor
  128. final def size: Int

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

    Definition Classes
    SingletonTensorSparseTensor
  130. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  132. def sum: Double

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

    Definition Classes
    AnyRef
  134. 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
  135. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  136. def toString(): String

    Definition Classes
    RealValueTensor → AnyRef → Any
  137. 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
  138. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  139. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  140. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  141. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  142. def unary_-: RealValue

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

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

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

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

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

Inherited from SingletonIndexedTensor

Inherited from SingletonTensor

Inherited from ReadOnlyTensor

Inherited from SparseIndexedTensor

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