# MutableSingletonBinaryTensor4

#### class MutableSingletonBinaryTensor4 extends Tensor4 with SingletonBinaryTensor

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Inherited
1. MutableSingletonBinaryTensor4
2. SingletonBinaryTensor
3. SingletonTensor
5. SparseBinaryTensor
6. SparseTensor
7. SparseDoubleSeq
8. Tensor4
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 *(v: Double): Tensor

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

Definition Classes
MutableDoubleSeq
6. #### def *=(d: Double): 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]): MutableSingletonBinaryTensor4.this.type

Definition Classes
Tensor

11. #### def +=(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

Definition Classes
Tensor4
12. #### 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
13. #### def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

Definition Classes
MutableDoubleSeq
26. #### def :=(a: Array[Double], offset: Int): Unit

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

Definition Classes
MutableDoubleSeq
28. #### def :=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
29. #### def :=(d: Double): Unit

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

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

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

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

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

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

Definition Classes
SingletonTensorSparseTensor

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

Definition Classes
SingletonTensorSparseTensor
39. #### def _valuesSeq: DoubleSeq

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

Definition Classes
MutableDoubleSeq

42. #### def activeDomain1: SingletonIntSeq

Definition Classes
MutableSingletonBinaryTensor4Tensor4
43. #### def activeDomain2: SingletonIntSeq

Definition Classes
MutableSingletonBinaryTensor4Tensor4
44. #### def activeDomain3: SingletonIntSeq

Definition Classes
MutableSingletonBinaryTensor4Tensor4
45. #### def activeDomain4: SingletonIntSeq

Definition Classes
MutableSingletonBinaryTensor4Tensor4
46. #### val activeDomainSize: Int

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

Definition Classes
Tensor4Tensor
48. #### def activeElements: Iterator[(Int, Double)]

Definition Classes
SingletonBinaryTensorTensor
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
SingletonBinaryTensorDoubleSeq
51. #### def apply(i: Int, j: Int, k: Int, l: Int): Double

Definition Classes
Tensor4
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: Tensor4

Definition Classes
Tensor4Tensor
56. #### def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq

59. #### def copy: MutableSingletonBinaryTensor4

Definition Classes
MutableSingletonBinaryTensor4Tensor4Tensor
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 different(t: DoubleSeq, threshold: Double): Boolean

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

Definition Classes
MutableSingletonBinaryTensor4Tensor4
64. #### val dim2: Int

Definition Classes
MutableSingletonBinaryTensor4Tensor4
65. #### val dim3: Int

Definition Classes
MutableSingletonBinaryTensor4Tensor4
66. #### val dim4: Int

Definition Classes
MutableSingletonBinaryTensor4Tensor4
67. #### def dimensions: Array[Int]

Definition Classes
Tensor4Tensor
68. #### def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor4Tensor
69. #### def dot(t: DoubleSeq): Double

Definition Classes
SingletonBinaryTensorTensor
70. #### def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor4Tensor
71. #### 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
72. #### final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
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 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
77. #### def expNormalized: Tensor

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

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

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

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

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

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

Definition Classes
SingletonBinaryTensorTensorSparseDoubleSeq
84. #### def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

Definition Classes
SingletonBinaryTensorDoubleSeq
87. #### def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

Definition Classes
Tensor4
Annotations
@inline()
91. #### final def index2(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
92. #### final def index3(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
93. #### final def index4(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
94. #### def indexOf(d: Double): Int

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

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

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

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

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

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

Definition Classes
Tensor4DoubleSeq
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, Int, Int)

Definition Classes
Tensor4
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
Tensor4Tensor
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

127. #### final def singleIndex(i: Int, j: Int, k: Int, l: Int): Int

Definition Classes
Tensor4
Annotations
@inline()

132. #### def singleValue: Double

Definition Classes
SingletonBinaryTensorSingletonTensor
133. #### final def size: Int

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

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

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

Definition Classes
MutableDoubleSeq

138. #### final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
139. #### 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
140. #### def toSeq: Seq[Double]

With copied contents

With copied contents

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

Definition Classes
Tensor → AnyRef → Any
142. #### 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
143. #### final def twoNorm: Double

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

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

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

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

Definition Classes
148. #### def update(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

Definition Classes
Tensor4
149. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )