# DenseLayeredTensorLike2

#### trait DenseLayeredTensorLike2 extends Tensor2 with SparseDoubleSeq

Linear Supertypes
Known Subclasses
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Inherited
1. DenseLayeredTensorLike2
2. SparseDoubleSeq
3. Tensor2
4. Tensor
5. Serializable
6. Serializable
7. MutableDoubleSeq
8. IncrementableDoubleSeq
9. DoubleSeq
10. AnyRef
11. Any
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### 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 *(other: Tensor1): Tensor1

Definition Classes
DenseLayeredTensorLike2Tensor2
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]): DenseLayeredTensorLike2.this.type

Definition Classes
Tensor

13. #### def +=(i: Int, j: Int, v: Double): Unit

Definition Classes
Tensor2
14. #### 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
15. #### def +=(a: Array[Double], 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
DenseLayeredTensorLike2SparseDoubleSeqDoubleSeq
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

39. #### def activeDomain1: TruncatedArrayIntSeq

Definition Classes
DenseLayeredTensorLike2Tensor2
40. #### def activeDomain2: RangeIntSeq

Definition Classes
DenseLayeredTensorLike2Tensor2

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
45. #### def apply(i: Int): Double

Definition Classes
DenseLayeredTensorLike2Tensor2DoubleSeq
46. #### def apply(i: Int, j: Int): Double

Definition Classes
DenseLayeredTensorLike2Tensor2
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: Tensor2

Definition Classes
Tensor2Tensor
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. #### def dimensions: Array[Int]

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

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

Definition Classes
DenseLayeredTensorLike2Tensor
62. #### def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor2Tensor
63. #### 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
64. #### final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
67. #### 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
68. #### 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
69. #### def expNormalized: Tensor

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

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

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

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

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

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

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

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

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

Definition Classes
DenseLayeredTensorLike2DoubleSeq
79. #### def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

Definition Classes
AnyRef → Any

Attributes
protected
82. #### def hashCode(): Int

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

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq

88. #### def isDense: Boolean

Definition Classes
DenseLayeredTensorLike2Tensor
89. #### final def isInstanceOf[T0]: Boolean

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

Definition Classes
Tensor
91. #### 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
92. #### 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
93. #### def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
94. #### def leftMultiply(other: Tensor1): Tensor1

Definition Classes
DenseLayeredTensorLike2Tensor2
95. #### final def length: Int

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

Definition Classes
DoubleSeq
97. #### def max: Double

Definition Classes
SparseDoubleSeqDoubleSeq
98. #### def maxIndex: Int

Definition Classes
SparseDoubleSeqDoubleSeq
99. #### def maxIndex2: (Int, Int)

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

Definition Classes
MutableDoubleSeq
101. #### def min: Double

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

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

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

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

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

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

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

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

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

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

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

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

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

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

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
118. #### 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
119. #### final def singleIndex(i: Int, j: Int): Int

Definition Classes
Tensor2
Annotations
@inline()
120. #### final def size: Int

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

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

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

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

Definition Classes
AnyRef
125. #### 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
126. #### def toSeq: Seq[Double]

With copied contents

With copied contents

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

Definition Classes
Tensor → AnyRef → Any
128. #### 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
129. #### def trace: Double

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

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

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

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

Definition Classes
MutableDoubleSeq

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

Definition Classes
DenseLayeredTensorLike2Tensor2

137. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )