# SingletonBinaryLayeredTensor2

#### class SingletonBinaryLayeredTensor2 extends SingletonBinaryLayeredTensorLike2

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Inherited
1. SingletonBinaryLayeredTensor2
2. SingletonBinaryLayeredTensorLike2
4. SparseDoubleSeq
5. Tensor2
6. Tensor
7. Serializable
8. Serializable
9. MutableDoubleSeq
10. IncrementableDoubleSeq
11. DoubleSeq
12. AnyRef
13. 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]): SingletonBinaryLayeredTensor2.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
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 abs(): Unit

Definition Classes
MutableDoubleSeq

42. #### def activeDomains: Array[IntSeq]

Definition Classes
Tensor2Tensor
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

47. #### 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
48. #### final def asInstanceOf[T0]: T0

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

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
50. #### def blankCopy: Tensor2

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
54. #### def copy: SingletonBinaryLayeredTensor2

Definition Classes
SingletonBinaryLayeredTensor2Tensor2Tensor
55. #### def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
56. #### 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
57. #### def diag: Tensor1

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

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

Definition Classes
SingletonBinaryLayeredTensor2Tensor2
60. #### val dim2: Int

Definition Classes
SingletonBinaryLayeredTensor2Tensor2
61. #### def dimensions: Array[Int]

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

Definition Classes
Tensor2Tensor

64. #### def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor2Tensor
65. #### 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
66. #### final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
69. #### 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
70. #### 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
71. #### def expNormalized: Tensor

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

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

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

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

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

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

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

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

Definition Classes
DoubleSeq

81. #### def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

Definition Classes
Tensor2
Annotations
@inline()
85. #### final def index2(i: Int): Int

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

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

Definition Classes
SparseDoubleSeqDoubleSeq

91. #### final def isInstanceOf[T0]: Boolean

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

Definition Classes
Tensor
93. #### 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
94. #### 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
95. #### def l2Similarity(t: DoubleSeq): Double

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

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

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

Definition Classes
DoubleSeq
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 min: Double

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

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

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

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

Definition Classes
Tensor2
Annotations
@inline()
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
Tensor2Tensor
115. #### def oneNorm: Double

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

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
120. #### 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
121. #### final def singleIndex(i: Int, j: Int): Int

Definition Classes
Tensor2
Annotations
@inline()

123. #### final def size: Int

Definition Classes
DoubleSeq
124. #### def stringPrefix: String

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
127. #### final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
128. #### 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
129. #### def toSeq: Seq[Double]

With copied contents

With copied contents

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

Definition Classes
Tensor → AnyRef → Any
131. #### 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
132. #### def trace: Double

Definition Classes
Tensor2
133. #### final def twoNorm: Double

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

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

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

Definition Classes
MutableDoubleSeq

138. #### def update(i: Int, v: Double): Unit

Definition Classes
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( ... )