# SparseTensorProportions

#### trait SparseTensorProportions extends SparseIndexedTensor with Proportions

Linear Supertypes
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Inherited
1. SparseTensorProportions
2. Proportions
4. Masses
5. SparseIndexedTensor
6. SparseTensor
7. Tensor
8. Serializable
9. Serializable
10. MutableDoubleSeq
11. IncrementableDoubleSeq
12. SparseDoubleSeq
13. DoubleSeq
14. AnyRef
15. Any
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Visibility
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### Abstract Value Members

1. #### abstract def activeDomains: Array[IntSeq]

Definition Classes
Tensor
2. #### abstract def blankCopy: Tensor

Definition Classes
Tensor
3. #### abstract def copy: Tensor

Definition Classes
Tensor
4. #### abstract def dimensions: Array[Int]

Definition Classes
Tensor
5. #### abstract def length: Int

Definition Classes
DoubleSeq
6. #### abstract def masses: Masses

Definition Classes
Proportions
7. #### abstract def numDimensions: Int

Definition Classes
Tensor

Attributes
protected

### Concrete 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

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]): SparseTensorProportions.this.type

Definition Classes
Tensor

11. #### 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
12. #### def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

Definition Classes
IncrementableDoubleSeq
17. #### def -(that: Tensor): Tensor

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

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

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

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

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

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

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

Definition Classes
MutableDoubleSeq

28. #### def :=(d: Double): Unit

Definition Classes
MutableDoubleSeq
29. #### 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
30. #### final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

Definition Classes
Any
35. #### def _indices: Array[Int]

Definition Classes
SparseTensorProportionsSparseTensor

Definition Classes
SparseTensorProportionsSparseTensor
37. #### def _unsafeActiveDomainSize: Int

Definition Classes
SparseTensorProportionsSparseTensor

39. #### def _valuesSeq: ArrayDoubleSeq

Definition Classes
SparseIndexedTensorSparseTensor
40. #### def abs(): Unit

Definition Classes
MutableDoubleSeq

43. #### def activeElements: Iterator[(Int, Double)]

Definition Classes
Tensor
44. #### 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
45. #### def apply(i: Int): Double

Definition Classes
SparseTensorProportionsDoubleSeq
46. #### 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
47. #### final def asInstanceOf[T0]: T0

Definition Classes
Any
48. #### def asSeq: Seq[Double]

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
49. #### def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq
51. #### def containsNaN: Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
52. #### def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
53. #### 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
54. #### def different(t: DoubleSeq, threshold: Double): Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
55. #### def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor
56. #### def dot(t: DoubleSeq): Double

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

Definition Classes
Tensor
58. #### 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
59. #### final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
62. #### 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
63. #### 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
64. #### def expNormalized: Tensor

Definition Classes
Tensor
65. #### def exponentiate(): Unit

Definition Classes
MutableDoubleSeq
66. #### def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
78. #### def infinityNorm: Double

Definition Classes
SparseDoubleSeqDoubleSeq
79. #### def isDense: Boolean

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

Definition Classes
Any
81. #### def isUniform: Boolean

Definition Classes
Tensor
82. #### 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
83. #### 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
84. #### def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
85. #### def logpr(index: Int): Double

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

Definition Classes
DoubleSeq
87. #### def massTotal: Double

Definition Classes
SparseTensorProportionsMasses
88. #### def max: Double

Definition Classes
SparseDoubleSeqDoubleSeq
89. #### def maxIndex: Int

Definition Classes
SparseDoubleSeqDoubleSeq
90. #### def maxIndex2: (Int, Int)

Definition Classes
SparseDoubleSeqDoubleSeq
91. #### def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
92. #### def maxToStringLength: Int

Definition Classes
Masses
93. #### def min: Double

Definition Classes
SparseDoubleSeqDoubleSeq
94. #### def mkString: String

Definition Classes
DoubleSeq
95. #### def mkString(sep: String): String

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

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

Definition Classes
AnyRef
98. #### def normalize(): Double

Definition Classes
MutableDoubleSeq
99. #### def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
100. #### def normalized: Tensor

Definition Classes
Tensor
101. #### final def notify(): Unit

Definition Classes
AnyRef
102. #### final def notifyAll(): Unit

Definition Classes
AnyRef
103. #### def oneNorm: Double

Definition Classes
SparseDoubleSeqDoubleSeq
104. #### def oneNormalize(): Double

Definition Classes
MutableDoubleSeq
105. #### def outer(t: Tensor): Tensor

Definition Classes
Tensor
106. #### 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()
107. #### def printLength: Int

Definition Classes
Tensor
108. #### 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
109. #### def sampleIndex(normalizer: Double)(implicit r: Random): Int

Definition Classes
SparseDoubleSeqDoubleSeq
110. #### final def size: Int

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

Definition Classes
SparseTensorProportionsSparseTensor
112. #### def stringPrefix: String

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

Definition Classes
MutableDoubleSeq
114. #### def sum: Double

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

Definition Classes
AnyRef
116. #### 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
117. #### def toSeq: Seq[Double]

With copied contents

With copied contents

Definition Classes
DoubleSeq
118. #### def toString(): String

Definition Classes
ProportionsMassesTensor → AnyRef → Any
119. #### 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
120. #### final def twoNorm: Double

Definition Classes
DoubleSeq
121. #### def twoNormSquared: Double

Definition Classes
SparseDoubleSeqDoubleSeq
122. #### def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
123. #### def twoSquaredNormalize(): Double

Definition Classes
MutableDoubleSeq

125. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )