cc.factorie.variable

SparseTensorProportions4

class SparseTensorProportions4 extends la.Tensor4 with SparseTensorProportions with Proportions4

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Inherited
  1. SparseTensorProportions4
  2. Proportions4
  3. Masses4
  4. SparseTensorProportions
  5. Proportions
  6. ReadOnlyTensor
  7. Masses
  8. SparseIndexedTensor
  9. SparseTensor
  10. SparseDoubleSeq
  11. Tensor4
  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 SparseTensorProportions4(tensor: SparseIndexedTensor4, 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 *(v: Double): Tensor

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

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

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

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

    Definition Classes
    Tensor
  9. def ++=(tensors: Iterable[Tensor]): SparseTensorProportions4.this.type

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

  11. def +=(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

    Definition Classes
    Tensor4
  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 -(that: Tensor): Tensor

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  22. def /(v: Double): Tensor

    Definition Classes
    Tensor
  23. def /=(ds: DoubleSeq): Unit

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

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

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

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

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

  29. def :=(d: Double): Unit

    Definition Classes
    MutableDoubleSeq
  30. 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
  31. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

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

    Definition Classes
    SparseTensorProportionsSparseTensor
  37. def _makeReadable(): Unit

    Definition Classes
    SparseTensorProportionsSparseTensor
  38. def _unsafeActiveDomainSize: Int

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

  40. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  41. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  42. def activeDomain: IntSeq

  43. def activeDomain1: IntSeq

    Definition Classes
    SparseTensorProportions4Tensor4
  44. def activeDomain2: IntSeq

    Definition Classes
    SparseTensorProportions4Tensor4
  45. def activeDomain3: IntSeq

    Definition Classes
    SparseTensorProportions4Tensor4
  46. def activeDomain4: IntSeq

    Definition Classes
    SparseTensorProportions4Tensor4
  47. def activeDomainSize: Int

  48. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor4Tensor
  49. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    Tensor
  50. 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
  51. def apply(i: Int): Double

    Definition Classes
    SparseTensorProportionsDoubleSeq
  52. def apply(i: Int, j: Int, k: Int, l: Int): Double

    Definition Classes
    Tensor4
  53. 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
  54. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  56. def blankCopy: SparseTensorProportions4

    Definition Classes
    SparseTensorProportions4Tensor4Tensor
  57. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  59. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  60. def copy: SparseTensorProportions4

    Definition Classes
    SparseTensorProportions4Tensor4Tensor
  61. def cosineSimilarity(t: DoubleSeq): Double

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  64. def dim1: Int

    Definition Classes
    SparseTensorProportions4Tensor4
  65. def dim2: Int

    Definition Classes
    SparseTensorProportions4Tensor4
  66. def dim3: Int

    Definition Classes
    SparseTensorProportions4Tensor4
  67. def dim4: Int

    Definition Classes
    SparseTensorProportions4Tensor4
  68. def dimensions: Array[Int]

    Definition Classes
    Tensor4Tensor
  69. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor4Tensor
  70. def dot(t: DoubleSeq): Double

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

    Definition Classes
    Tensor4Tensor
  72. 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
  73. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  76. 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
  77. 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
  78. def expNormalized: Tensor

    Definition Classes
    Tensor
  79. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  80. def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    Tensor4
    Annotations
    @inline()
  92. final def index2(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  93. final def index3(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  94. final def index4(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  95. def indexOf(d: Double): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  96. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  97. def isDense: Boolean

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

    Definition Classes
    Any
  99. def isUniform: Boolean

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

    Definition Classes
    DoubleSeq
  103. final def length: Int

    Definition Classes
    Tensor4DoubleSeq
    Annotations
    @inline()
  104. def logpr(index: Int): Double

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

    Definition Classes
    DoubleSeq
  106. def massTotal: Double

    Definition Classes
    SparseTensorProportionsMasses
  107. def masses: SparseTensorProportions4

  108. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  109. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  111. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  112. def maxToStringLength: Int

    Definition Classes
    Masses
  113. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  114. def mkString: String

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

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

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

    Definition Classes
    Tensor4
    Annotations
    @inline()
  118. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  119. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  120. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  121. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  124. def numDimensions: Int

    Definition Classes
    Tensor4Tensor
  125. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  126. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  128. 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()
  129. def printLength: Int

    Definition Classes
    Tensor
  130. 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
  131. def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  132. final def singleIndex(i: Int, j: Int, k: Int, l: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  133. final def size: Int

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

    Definition Classes
    SparseTensorProportionsSparseTensor
  135. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  137. def sum: Double

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

    Definition Classes
    AnyRef
  139. val tensor: SparseIndexedTensor4

  140. 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
  141. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  142. def toString(): String

    Definition Classes
    ProportionsMassesTensor → AnyRef → Any
  143. 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
  144. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  145. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  146. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  147. def twoSquaredNormalize(): Double

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

  149. def update(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

    Definition Classes
    Tensor4
  150. final def wait(): Unit

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

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

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

Inherited from Proportions4

Inherited from Masses4

Inherited from SparseTensorProportions

Inherited from Proportions

Inherited from ReadOnlyTensor

Inherited from Masses

Inherited from SparseIndexedTensor

Inherited from SparseTensor

Inherited from SparseDoubleSeq

Inherited from la.Tensor4

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