# SingletonBinaryTensorLike1

#### trait SingletonBinaryTensorLike1 extends Tensor1 with SingletonBinaryTensor

A one-dimensional one-hot Tensor with hot value 1.0.

Linear Supertypes
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. SingletonBinaryTensorLike1
2. SingletonBinaryTensor
3. SingletonTensor
5. SparseBinaryTensor
6. SparseTensor
7. SparseDoubleSeq
8. Tensor1
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
Tensor1
2. #### abstract def singleIndex: Int

Definition Classes
SingletonBinaryTensorSingletonTensor

### 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: Tensor2): Tensor1

Definition Classes
Tensor1
5. #### def *(f: Double): Tensor1

Definition Classes
Tensor1Tensor
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 +(t: Tensor1): Tensor1

Definition Classes
Tensor1
10. #### def +(that: Tensor): Tensor

Definition Classes
Tensor
11. #### def ++=(tensors: Iterable[Tensor]): SingletonBinaryTensorLike1.this.type

Definition Classes
Tensor

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 -(t: Tensor1): Tensor1

Definition Classes
Tensor1
20. #### def -(that: Tensor): Tensor

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

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

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

Definition Classes
IncrementableDoubleSeq
24. #### def /(f: Double): Tensor1

Definition Classes
Tensor1Tensor
25. #### def /=(ds: DoubleSeq): Unit

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

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

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

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

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

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

Definition Classes
MutableDoubleSeq
32. #### 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
33. #### final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

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

Definition Classes
SingletonTensorSparseTensor

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

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

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

Definition Classes
MutableDoubleSeq

44. #### def activeDomain1: IntSeq

Definition Classes
Tensor1
45. #### val activeDomainSize: Int

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

Definition Classes
Tensor1Tensor
47. #### def activeElements: Iterator[(Int, Double)]

Definition Classes
SingletonBinaryTensorTensor
48. #### 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
49. #### def apply(i: Int): Double

Definition Classes
SingletonBinaryTensorDoubleSeq
50. #### 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
51. #### final def asInstanceOf[T0]: T0

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

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
53. #### def blankCopy: Tensor1

Definition Classes
Tensor1Tensor
54. #### def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq

57. #### def copy: Tensor1

Definition Classes
Tensor1Tensor
58. #### def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
59. #### 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
60. #### def different(t: DoubleSeq, threshold: Double): Boolean

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

Definition Classes
Tensor1Tensor
62. #### def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor1Tensor
63. #### def dot(t: DoubleSeq): Double

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

Definition Classes
Tensor1Tensor
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
SingletonBinaryTensorTensorSparseDoubleSeq
78. #### def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

Definition Classes
SingletonBinaryTensorDoubleSeq
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. #### def indexOf(d: Double): Int

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

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

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

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

Definition Classes
Tensor
89. #### 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
90. #### 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
91. #### def l2Similarity(t: DoubleSeq): Double

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

Definition Classes
Tensor1DoubleSeq
Annotations
@inline()
93. #### def map(f: (Double) ⇒ Double): DoubleSeq

Definition Classes
DoubleSeq

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

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

Definition Classes
MutableDoubleSeq

99. #### def mkString: String

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

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

Definition Classes
DoubleSeq
102. #### final def ne(arg0: AnyRef): Boolean

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

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

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

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

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

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

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

Definition Classes
Tensor1Tensor
109. #### def oneNorm: Double

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

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

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

Definition Classes
Tensor
113. #### def reshape(dim: Array[Int]): Tensor

Definition Classes
Tensor1
114. #### def sampleIndex(normalizer: Double)(implicit r: Random): Int

Definition Classes
SparseDoubleSeqDoubleSeq
115. #### 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
116. #### def singleValue: Double

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

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

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

Definition Classes
Tensor1Tensor
120. #### def substitute(oldValue: Double, newValue: Double): Unit

Definition Classes
MutableDoubleSeq

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

Definition Classes
AnyRef
123. #### 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
124. #### def toSeq: Seq[Double]

With copied contents

With copied contents

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

Definition Classes
Tensor → AnyRef → Any
126. #### 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
127. #### final def twoNorm: Double

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

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

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

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

Definition Classes
132. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )