cc.factorie.variable

SparseTensorProportions2

class SparseTensorProportions2 extends la.Tensor2 with SparseTensorProportions with Proportions2

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Inherited
  1. SparseTensorProportions2
  2. Proportions2
  3. Masses2
  4. SparseTensorProportions
  5. Proportions
  6. ReadOnlyTensor
  7. Masses
  8. SparseIndexedTensor
  9. SparseTensor
  10. SparseDoubleSeq
  11. Tensor2
  12. Tensor
  13. Serializable
  14. Serializable
  15. MutableDoubleSeq
  16. IncrementableDoubleSeq
  17. DoubleSeq
  18. AnyRef
  19. Any
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  1. Public
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Instance Constructors

  1. new SparseTensorProportions2(tensor: SparseIndexedTensor2, checkNormalization: Boolean = true)

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.Tensor1): la.Tensor1

    Definition Classes
    Tensor2
  5. def *(v: Double): Tensor

    Definition Classes
    Tensor
  6. def *=(d: Double): Unit

  7. def *=(ds: DoubleSeq): Unit

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

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

    Definition Classes
    Tensor
  10. def ++=(tensors: Iterable[Tensor]): SparseTensorProportions2.this.type

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

  12. def +=(i: Int, j: Int, v: Double): Unit

    Definition Classes
    Tensor2
  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 -(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 /(v: Double): Tensor

    Definition Classes
    Tensor
  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

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

  29. def :=(ds: DoubleSeq): Unit

  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
    SparseDoubleSeqDoubleSeq
  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: AnyRef): Boolean

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

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

    Definition Classes
    SparseTensorProportionsSparseTensor
  38. def _makeReadable(): Unit

    Definition Classes
    SparseTensorProportionsSparseTensor
  39. def _unsafeActiveDomainSize: Int

    Definition Classes
    SparseTensorProportionsSparseTensor
  40. def _values: Array[Double]

  41. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  42. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  43. def activeDomain: IntSeq

  44. def activeDomain1: IntSeq

    Definition Classes
    SparseTensorProportions2Tensor2
  45. def activeDomain2: IntSeq

    Definition Classes
    SparseTensorProportions2Tensor2
  46. def activeDomainSize: Int

  47. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor2Tensor
  48. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    Tensor
  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
    SparseTensorProportionsDoubleSeq
  51. def apply(i: Int, j: Int): Double

    Definition Classes
    Tensor2
  52. 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
  53. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  55. def blankCopy: SparseTensorProportions2

    Definition Classes
    SparseTensorProportions2Tensor2Tensor
  56. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  58. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  59. def copy: SparseTensorProportions2

    Definition Classes
    SparseTensorProportions2Tensor2Tensor
  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 diag: la.Tensor1

    Definition Classes
    Tensor2
  63. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  64. def dim1: Int

    Definition Classes
    SparseTensorProportions2Tensor2
  65. def dim2: Int

    Definition Classes
    SparseTensorProportions2Tensor2
  66. def dimensions: Array[Int]

    Definition Classes
    Tensor2Tensor
  67. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor2Tensor
  68. def dot(t: DoubleSeq): Double

    Definition Classes
    SparseTensorProportionsTensor
  69. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor2Tensor
  70. 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
  71. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  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
    SparseTensorProportionsMutableDoubleSeq
  75. 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
  76. def expNormalized: Tensor

    Definition Classes
    Tensor
  77. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  78. def finalize(): Unit

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

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

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

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

    Definition Classes
    SparseDoubleSeq
  83. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

    Definition Classes
    SparseTensorProportionsDoubleSeq
  86. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

    Definition Classes
    Tensor2
    Annotations
    @inline()
  90. final def index2(i: Int): Int

    Definition Classes
    Tensor2
    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. def leftMultiply(t: la.Tensor1): la.Tensor1

    Definition Classes
    Tensor2
  100. final def length: Int

    Definition Classes
    Tensor2DoubleSeq
    Annotations
    @inline()
  101. def logpr(index: Int): Double

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

    Definition Classes
    DoubleSeq
  103. def massTotal: Double

    Definition Classes
    SparseTensorProportionsMasses
  104. def masses: SparseTensorProportions2

  105. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  106. def maxIndex: Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  107. def maxIndex2: (Int, Int)

    Definition Classes
    SparseDoubleSeqDoubleSeq
  108. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  109. def maxToStringLength: Int

    Definition Classes
    Masses
  110. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  111. def mkString: String

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

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

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

    Definition Classes
    Tensor2
    Annotations
    @inline()
  115. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  116. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  117. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  118. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  121. def numDimensions: Int

    Definition Classes
    Tensor2Tensor
  122. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  123. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  125. final def pr(i: 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
    ProportionsMasses
    Annotations
    @inline()
  126. def printLength: Int

    Definition Classes
    Tensor
  127. 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
  128. def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  129. final def singleIndex(i: Int, j: Int): Int

    Definition Classes
    Tensor2
    Annotations
    @inline()
  130. final def size: Int

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

    Definition Classes
    SparseTensorProportionsSparseTensor
  132. def stringPrefix: String

    Definition Classes
    ProportionsMassesTensor
  133. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  134. def sum: Double

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

    Definition Classes
    AnyRef
  136. val tensor: SparseIndexedTensor2

  137. 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
  138. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  139. def toString(): String

    Definition Classes
    ProportionsMassesTensor → AnyRef → Any
  140. 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
  141. def trace: Double

    Definition Classes
    Tensor2
  142. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  143. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  144. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  145. def twoSquaredNormalize(): Double

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

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

    Definition Classes
    Tensor2
  148. final def wait(): Unit

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

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

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

Inherited from Proportions2

Inherited from Masses2

Inherited from SparseTensorProportions

Inherited from Proportions

Inherited from ReadOnlyTensor

Inherited from Masses

Inherited from SparseIndexedTensor

Inherited from SparseTensor

Inherited from SparseDoubleSeq

Inherited from la.Tensor2

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