cc.factorie.variable

SparseTensorProportions1

class SparseTensorProportions1 extends la.Tensor1 with SparseTensorProportions with Proportions1

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Inherited
  1. SparseTensorProportions1
  2. Proportions1
  3. Masses1
  4. SparseTensorProportions
  5. Proportions
  6. ReadOnlyTensor
  7. Masses
  8. SparseIndexedTensor
  9. SparseTensor
  10. SparseDoubleSeq
  11. Tensor1
  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 SparseTensorProportions1(tensor: SparseIndexedTensor1, 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.Tensor2): la.Tensor1

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

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

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

    Definition Classes
    Tensor
  11. def ++=(tensors: Iterable[Tensor]): SparseTensorProportions1.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

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

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

  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
    SparseDoubleSeqDoubleSeq
  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
    SparseTensorProportionsSparseTensor
  39. def _makeReadable(): Unit

    Definition Classes
    SparseTensorProportionsSparseTensor
  40. def _unsafeActiveDomainSize: Int

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

  42. def _valuesSeq: ArrayDoubleSeq

    Definition Classes
    SparseIndexedTensorSparseTensor
  43. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  44. def activeDomain: IntSeq

  45. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  46. def activeDomainSize: Int

  47. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor1Tensor
  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 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: SparseTensorProportions1

    Definition Classes
    SparseTensorProportions1Tensor1Tensor
  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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  58. def copy: SparseTensorProportions1

    Definition Classes
    SparseTensorProportions1Tensor1Tensor
  59. def cosineSimilarity(t: DoubleSeq): Double

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  62. def dim1: Int

    Definition Classes
    SparseTensorProportions1Tensor1
  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
    SparseTensorProportionsTensor
  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(): 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
  72. 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
  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
    SparseDoubleSeq
  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
    SparseTensorProportionsDoubleSeq
  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
    SparseTensorProportionsMasses
  98. def masses: SparseTensorProportions1

  99. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  100. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  102. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  103. def maxToStringLength: Int

    Definition Classes
    Masses
  104. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  105. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  109. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  110. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  111. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  114. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  115. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  116. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  118. 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()
  119. def printLength: Int

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  123. final def size: Int

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

    Definition Classes
    SparseTensorProportionsSparseTensor
  125. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  127. def sum: Double

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

    Definition Classes
    AnyRef
  129. val tensor: SparseIndexedTensor1

  130. 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
  131. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  132. def toString(): String

    Definition Classes
    ProportionsMassesTensor → AnyRef → Any
  133. 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
  134. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  135. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  136. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  137. def twoSquaredNormalize(): Double

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

  139. final def wait(): Unit

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

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

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

Inherited from Proportions1

Inherited from Masses1

Inherited from SparseTensorProportions

Inherited from Proportions

Inherited from ReadOnlyTensor

Inherited from Masses

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