DenseTensorLike3

trait DenseTensorLike3 extends Tensor3 with DenseTensor

Linear Supertypes
Known Subclasses
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. DenseTensorLike3
2. DenseTensor
3. DenseDoubleSeq
4. TensorWithMutableDefaultValue
5. Tensor3
6. Tensor
7. Serializable
8. Serializable
9. MutableDoubleSeq
10. IncrementableDoubleSeq
11. DoubleSeq
12. AnyRef
13. Any
1. Hide All
2. Show all
Visibility
1. Public
2. All

Abstract Value Members

1. abstract def dim1: Int

Definition Classes
Tensor3
2. abstract def dim2: Int

Definition Classes
Tensor3
3. abstract def dim3: Int

Definition Classes
Tensor3

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 *(v: Double): Tensor

Definition Classes
Tensor
5. def *=(d: Double): Unit

Definition Classes
DenseTensorMutableDoubleSeq
6. def *=(ds: DoubleSeq): 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]): DenseTensorLike3.this.type

Definition Classes
Tensor

11. def +=(t: DoubleSeq, offset: Int, f: Double): Unit

Increment into this DenseTensor at an offset.

Increment into this DenseTensor at an offset.

Definition Classes
DenseTensor

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

Definition Classes
Tensor3
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
DenseTensorMutableDoubleSeq
28. def :=(a: Array[Double]): Unit

Definition Classes
DenseTensorMutableDoubleSeq
29. def :=(ds: DoubleSeq): Unit

Definition Classes
DenseTensorMutableDoubleSeq
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
DenseDoubleSeqDoubleSeq
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 _initialArray: Array[Double]

Attributes
protected
Definition Classes
DenseTensor
38. def _resetValues(s: Int): Unit

Attributes
protected
Definition Classes
DenseTensor
39. def _setArray(a: Array[Double]): Unit

Attributes
protected
Definition Classes
DenseTensor
40. def _values: Array[Double]

Attributes
protected
Definition Classes
DenseTensor
41. def _valuesSize: Int

Attributes
protected
Definition Classes
DenseTensor
42. def abs(): Unit

Definition Classes
MutableDoubleSeq
43. def activeDomain: IntSeq

Definition Classes
DenseTensorTensor
44. def activeDomain1: RangeIntSeq

Definition Classes
DenseTensorLike3Tensor3
45. def activeDomain2: RangeIntSeq

Definition Classes
DenseTensorLike3Tensor3
46. def activeDomain3: RangeIntSeq

Definition Classes
DenseTensorLike3Tensor3
47. def activeDomainSize: Int

Definition Classes
DenseTensorTensor
48. def activeDomains: Array[IntSeq]

Definition Classes
Tensor3Tensor
49. def activeElements: Iterator[(Int, Double)]

Definition Classes
Tensor
50. 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
51. def apply(i: Int): Double

Definition Classes
DenseTensorDoubleSeq
52. def apply(i: Int, j: Int, k: Int): Double

Definition Classes
Tensor3
53. 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
DenseTensorDoubleSeq
54. final def asInstanceOf[T0]: T0

Definition Classes
Any
55. def asSeq: Seq[Double]

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
56. def blankCopy: Tensor3

Definition Classes
Tensor3Tensor
57. def clone(): AnyRef

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

Definition Classes
DenseDoubleSeqDoubleSeq
59. def containsNaN: Boolean

Definition Classes
DenseDoubleSeqDoubleSeq
60. def copy: Tensor3

Definition Classes
Tensor3Tensor
61. def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
62. 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
DenseTensorTensor

66. def different(t: DoubleSeq, threshold: Double): Boolean

Definition Classes
DoubleSeq
67. def dimensions: Array[Int]

Definition Classes
Tensor3Tensor
68. def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor3Tensor
69. def dot(t2: DoubleSeq): Double

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

Definition Classes
Tensor3Tensor
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
DoubleSeq
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(): 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
DenseTensorMutableDoubleSeq
76. 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
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
DenseTensorTensor
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
DenseDoubleSeqDoubleSeq
87. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

Definition Classes
AnyRef → Any
89. var hasLogged: Boolean

Definition Classes
DenseTensor
90. def hashCode(): Int

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

Definition Classes
Tensor3
Annotations
@inline()
92. final def index2(i: Int): Int

Definition Classes
Tensor3
Annotations
@inline()
93. final def index3(i: Int): Int

Definition Classes
Tensor3
Annotations
@inline()
94. def indexOf(d: Double): Int

Definition Classes
DenseDoubleSeqDoubleSeq
95. def infinityNorm: Double

Definition Classes
DenseDoubleSeqDoubleSeq
96. def initializeRandomly(mean: Double = 0.0, variance: Double = 1.0)(implicit rng: Random): Unit

Definition Classes
DenseTensor
97. def isDense: Boolean

Definition Classes
DenseTensorTensor
98. final def isInstanceOf[T0]: Boolean

Definition Classes
Any
99. def isUniform: Boolean

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

Definition Classes
DoubleSeq
103. final def length: Int

Definition Classes
Tensor3DoubleSeq
Annotations
@inline()
104. def map(f: (Double) ⇒ Double): DoubleSeq

Definition Classes
DoubleSeq
105. def max: Double

Definition Classes
DenseDoubleSeqDoubleSeq
106. def maxIndex: Int

Definition Classes
DenseDoubleSeqDoubleSeq
107. def maxIndex2: (Int, Int)

Definition Classes
DenseDoubleSeqDoubleSeq
108. def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
109. def min: Double

Definition Classes
DenseDoubleSeqDoubleSeq
110. def mkString: String

Definition Classes
DoubleSeq
111. def mkString(sep: String): String

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

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

Definition Classes
Tensor3
Annotations
@inline()
114. final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
115. def normalize(): Double

Definition Classes
MutableDoubleSeq
116. def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
117. def normalized: Tensor

Definition Classes
Tensor
118. final def notify(): Unit

Definition Classes
AnyRef
119. final def notifyAll(): Unit

Definition Classes
AnyRef
120. def numDimensions: Int

Definition Classes
Tensor3Tensor
121. def oneNorm: Double

Definition Classes
DenseDoubleSeqDoubleSeq
122. def oneNormalize(): Double

Definition Classes
MutableDoubleSeq
123. def outer(t: Tensor): Tensor

Definition Classes
Tensor
124. def printLength: Int

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

Definition Classes
DenseDoubleSeqDoubleSeq
126. 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): Int

Definition Classes
Tensor3
Annotations
@inline()
128. final def size: Int

Definition Classes
DoubleSeq
129. def stringPrefix: String

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

Definition Classes
MutableDoubleSeq
131. def sum: Double

Definition Classes
DenseDoubleSeqDoubleSeq
132. final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
133. 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
DenseDoubleSeqDoubleSeq
134. def toSeq: Seq[Double]

With copied contents

With copied contents

Definition Classes
DoubleSeq
135. def toString(): String

Definition Classes
Tensor → AnyRef → Any
136. 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
137. final def twoNorm: Double

Definition Classes
DoubleSeq
138. def twoNormSquared: Double

Definition Classes
DenseDoubleSeqDoubleSeq
139. def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
140. def twoSquaredNormalize(): Double

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

Definition Classes
DenseTensorTensorMutableDoubleSeq
142. def update(i: Int, j: Int, k: Int, v: Double): Unit

Definition Classes
Tensor3
143. final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )