# SingletonBinaryTensorLike2

#### trait SingletonBinaryTensorLike2 extends Tensor2 with SingletonBinaryTensor

Linear Supertypes
Known Subclasses
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. SingletonBinaryTensorLike2
2. SingletonBinaryTensor
3. SingletonTensor
5. SparseBinaryTensor
6. SparseTensor
7. SparseDoubleSeq
8. Tensor2
9. Tensor
10. Serializable
11. Serializable
12. MutableDoubleSeq
13. IncrementableDoubleSeq
14. DoubleSeq
15. AnyRef
16. Any
1. Hide All
2. Show all
Visibility
1. Public
2. All

### Abstract Value Members

1. #### abstract def dim1: Int

Definition Classes
Tensor2
2. #### abstract def dim2: Int

Definition Classes
Tensor2

### 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 *(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]): SingletonBinaryTensorLike2.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
SingletonBinaryTensorSparseDoubleSeqDoubleSeq
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
40. #### def _valuesSeq: DoubleSeq

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

Definition Classes
MutableDoubleSeq

43. #### def activeDomain1: SingletonIntSeq

Definition Classes
SingletonBinaryTensorLike2Tensor2
44. #### def activeDomain2: SingletonIntSeq

Definition Classes
SingletonBinaryTensorLike2Tensor2
45. #### val activeDomainSize: Int

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

Definition Classes
Tensor2Tensor
47. #### 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): 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: Tensor2

Definition Classes
Tensor2Tensor
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: Tensor2

Definition Classes
Tensor2Tensor
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: Tensor1

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

Definition Classes
SparseDoubleSeqDoubleSeq
64. #### def dimensions: Array[Int]

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

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

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

Definition Classes
Tensor2Tensor
68. #### 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
69. #### final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
72. #### 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
73. #### 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
74. #### def expNormalized: Tensor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Definition Classes
DoubleSeq

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

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

Definition Classes
MutableDoubleSeq

105. #### def mkString: String

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

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

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

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

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

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

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

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

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

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

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

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

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

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
121. #### 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

123. #### final def singleIndex(i: Int, j: Int): Int

Definition Classes
Tensor2
Annotations
@inline()
124. #### def singleValue: Double

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

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

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

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

Definition Classes
MutableDoubleSeq

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

Definition Classes
AnyRef
131. #### 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
132. #### def toSeq: Seq[Double]

With copied contents

With copied contents

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

Definition Classes
Tensor → AnyRef → Any
134. #### 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
135. #### def trace: Double

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

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

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

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

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

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

Definition Classes
Tensor2
142. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )