# 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
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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### 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

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

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

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

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

Definition Classes
SparseTensorProportionsSparseTensor

41. #### def _valuesSeq: ArrayDoubleSeq

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

Definition Classes
MutableDoubleSeq

44. #### def activeDomain1: IntSeq

Definition Classes
SparseTensorProportions2Tensor2
45. #### def activeDomain2: IntSeq

Definition Classes
SparseTensorProportions2Tensor2

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

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

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

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( ... )