# SingletonTensor2

#### class SingletonTensor2 extends Tensor2 with SingletonIndexedTensor

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Inherited
1. SingletonTensor2
2. SingletonIndexedTensor
3. SingletonTensor
5. SparseIndexedTensor
6. SparseTensor
7. SparseDoubleSeq
8. Tensor2
9. Tensor
10. Serializable
11. Serializable
12. MutableDoubleSeq
13. IncrementableDoubleSeq
14. DoubleSeq
15. AnyRef
16. 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: Tensor1): Tensor1

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

Definition Classes
Tensor
6. #### def *=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
7. #### def *=(d: Double): 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]): SingletonTensor2.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
27. #### def :=(a: Array[Double], offset: Int): Unit

Definition Classes
MutableDoubleSeq
28. #### def :=(a: Array[Double]): Unit

Definition Classes
MutableDoubleSeq
29. #### def :=(ds: DoubleSeq): 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
SingletonIndexedTensorSparseDoubleSeqDoubleSeq
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
SingletonTensorSparseTensor
38. #### def _makeReadable(): Unit

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

Definition Classes
SingletonTensorSparseTensor

41. #### def _valuesSeq: ArrayDoubleSeq

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

Definition Classes
MutableDoubleSeq
43. #### def activeDomain: IntSeq

Definition Classes
SingletonTensor2SparseDoubleSeqTensor
44. #### def activeDomain1: SingletonIntSeq

Definition Classes
SingletonTensor2Tensor2
45. #### def activeDomain2: SingletonIntSeq

Definition Classes
SingletonTensor2Tensor2
46. #### val activeDomainSize: Int

Definition Classes
SingletonTensorTensorSparseDoubleSeq
47. #### def activeDomains: Array[IntSeq]

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

Definition Classes
SingletonIndexedTensorTensor

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
SingletonIndexedTensorDoubleSeq
52. #### def apply(i: Int, j: Int): Double

Definition Classes
Tensor2
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: Tensor2

Definition Classes
Tensor2Tensor
57. #### def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq

60. #### def copy: SingletonTensor2

Definition Classes
SingletonTensor2Tensor2Tensor
61. #### def copyInto(t: SparseIndexedTensor): Unit

Definition Classes
SingletonIndexedTensor
62. #### def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
63. #### 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
64. #### def diag: Tensor1

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

Definition Classes
SparseDoubleSeqDoubleSeq
66. #### val dim1: Int

Definition Classes
SingletonTensor2Tensor2
67. #### val dim2: Int

Definition Classes
SingletonTensor2Tensor2
68. #### def dimensions: Array[Int]

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

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

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

Definition Classes
Tensor2Tensor
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(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
77. #### 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
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
SingletonIndexedTensorTensorSparseDoubleSeq
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
SingletonIndexedTensorDoubleSeq
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
Tensor2
Annotations
@inline()
92. #### final def index2(i: Int): Int

Definition Classes
Tensor2
Annotations
@inline()
93. #### def indexOf(d: Double): Int

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

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

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

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

Definition Classes
Tensor
98. #### 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
99. #### 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
100. #### def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
101. #### def leftMultiply(t: Tensor1): Tensor1

Definition Classes
Tensor2
102. #### final def length: Int

Definition Classes
Tensor2DoubleSeq
Annotations
@inline()
103. #### def map(f: (Double) ⇒ Double): DoubleSeq

Definition Classes
DoubleSeq

106. #### def maxIndex2: (Int, Int)

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

Definition Classes
MutableDoubleSeq

109. #### def mkString: String

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

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

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

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

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

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

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

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

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

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

Definition Classes
AnyRef
119. #### def numDimensions: Int

Definition Classes
Tensor2Tensor
120. #### def oneNorm: Double

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

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

Definition Classes
Tensor
123. #### def printLength: Int

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

Definition Classes
SparseDoubleSeqDoubleSeq
125. #### 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
DoubleSeq
126. #### final def singleIndex(i: Int, j: Int): Int

Definition Classes
Tensor2
Annotations
@inline()
127. #### val singleIndex: Int

Definition Classes
SingletonTensor2SingletonTensor

130. #### val singleValue: Double

Definition Classes
SingletonTensor2SingletonTensor
131. #### final def size: Int

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

Definition Classes
SingletonTensorSparseTensor
133. #### def stringPrefix: String

Definition Classes
Tensor
134. #### def substitute(oldValue: Double, newValue: Double): Unit

Definition Classes
MutableDoubleSeq

136. #### 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
Tensor → 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

Definition Classes
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( ... )