cc.factorie.variable

SingletonMasses1

class SingletonMasses1 extends SingletonTensor1 with Masses1

Linear Supertypes
Known Subclasses
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. SingletonMasses1
  2. Masses1
  3. Masses
  4. SingletonTensor1
  5. Tensor1
  6. SingletonIndexedTensor
  7. SingletonTensor
  8. ReadOnlyTensor
  9. SparseIndexedTensor
  10. SparseTensor
  11. Tensor
  12. Serializable
  13. Serializable
  14. MutableDoubleSeq
  15. IncrementableDoubleSeq
  16. SparseDoubleSeq
  17. DoubleSeq
  18. AnyRef
  19. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SingletonMasses1(dim1: Int, singleIndex: 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 *(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]): SingletonMasses1.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
    SingletonIndexedTensorSparseDoubleSeqDoubleSeq
  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 _values: Array[Double]

  42. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  43. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  44. def activeDomain: SingletonIntSeq

    Definition Classes
    SingletonTensor1Tensor1TensorSparseDoubleSeq
  45. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  46. val activeDomainSize: Int

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

    Definition Classes
    Tensor1Tensor
  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 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: la.Tensor1

    Definition Classes
    Tensor1Tensor
  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 copyInto(t: SparseIndexedTensor): Unit

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  63. def dimensions: Array[Int]

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

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

    Definition Classes
    SingletonIndexedTensorTensor
  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(arg0: Any): Boolean

    Definition Classes
    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 finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  87. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  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 logpr(index: Int): Double

    Definition Classes
    Masses
  96. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  97. def massTotal: Double

    Definition Classes
    SingletonMasses1Masses
  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 maxToStringLength: Int

    Definition Classes
    Masses
  103. def min: Double

  104. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  108. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  109. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  110. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  113. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  114. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  115. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  117. def pr(index: Int): Double

    Get a normalized entry in this Masses, which can be interpreted as a probability.

    Get a normalized entry in this Masses, which can be interpreted as a probability.

    Definition Classes
    Masses
  118. def printLength: Int

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

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

    Definition Classes
    SingletonMasses1SparseDoubleSeqDoubleSeq
  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
    MassesDoubleSeq
  122. final def size: Int

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

    Definition Classes
    SingletonTensorSparseTensor
  124. def stringPrefix: String

    Definition Classes
    MassesTensor
  125. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  126. def sum: Double

    Definition Classes
    MassesDoubleSeq
  127. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  128. 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
  129. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  130. def toString(): String

    Definition Classes
    MassesTensor → AnyRef → Any
  131. 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
  132. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  133. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  134. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  135. def twoSquaredNormalize(): Double

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

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

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

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

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

Inherited from Masses1

Inherited from Masses

Inherited from SingletonTensor1

Inherited from la.Tensor1

Inherited from SingletonIndexedTensor

Inherited from SingletonTensor

Inherited from ReadOnlyTensor

Inherited from SparseIndexedTensor

Inherited from SparseTensor

Inherited from Tensor

Inherited from Serializable

Inherited from Serializable

Inherited from MutableDoubleSeq

Inherited from IncrementableDoubleSeq

Inherited from SparseDoubleSeq

Inherited from DoubleSeq

Inherited from AnyRef

Inherited from Any

Ungrouped