GrowableDenseTensor2

class GrowableDenseTensor2 extends DenseTensorLike2

Linear Supertypes
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. GrowableDenseTensor2
2. DenseTensorLike2
3. DenseTensor
4. DenseDoubleSeq
5. TensorWithMutableDefaultValue
6. Tensor2
7. Tensor
8. Serializable
9. Serializable
10. MutableDoubleSeq
11. IncrementableDoubleSeq
12. DoubleSeq
13. AnyRef
14. Any
1. Hide All
2. Show all
Visibility
1. Public
2. All

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 *=(d: Double): Unit

Definition Classes
DenseTensorMutableDoubleSeq
7. def *=(ds: DoubleSeq): 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]): GrowableDenseTensor2.this.type

Definition Classes
Tensor

12. 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

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

Definition Classes
Tensor2
15. 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
16. def +=(a: Array[Double], factor: Double): Unit

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

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

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

Definition Classes
IncrementableDoubleSeq
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 /(v: Double): Tensor

Definition Classes
Tensor
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
DenseTensorMutableDoubleSeq
29. def :=(a: Array[Double]): Unit

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

Definition Classes
DenseTensorMutableDoubleSeq
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
DenseDoubleSeqDoubleSeq
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 _initialArray: Array[Double]

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

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

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

Attributes
protected
Definition Classes
DenseTensor
42. def _valuesSize: Int

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

Definition Classes
MutableDoubleSeq
44. def activeDomain: IntSeq

Definition Classes
DenseTensorTensor
45. def activeDomain1: RangeIntSeq

Definition Classes
DenseTensorLike2Tensor2
46. def activeDomain2: RangeIntSeq

Definition Classes
DenseTensorLike2Tensor2
47. def activeDomainSize: Int

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

Definition Classes
Tensor2Tensor
49. def activeElements: Iterator[(Int, Double)]

Definition Classes
Tensor
50. def activeElements2: Tensor2ElementIterator

Definition Classes
DenseTensorLike2
51. 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
52. def apply(index: Int): Double

Definition Classes
GrowableDenseTensor2DenseTensorTensor2DoubleSeq
53. def apply(i: Int, j: Int): Double

Definition Classes
Tensor2
54. 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
55. final def asInstanceOf[T0]: T0

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

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
57. def blankCopy: GrowableDenseTensor2

Definition Classes
GrowableDenseTensor2Tensor2Tensor
58. def clone(): AnyRef

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

Definition Classes
DenseDoubleSeqDoubleSeq
60. def containsNaN: Boolean

Definition Classes
DenseDoubleSeqDoubleSeq
61. def copy: GrowableDenseTensor2

Definition Classes
GrowableDenseTensor2Tensor2Tensor
62. def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
63. 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

67. def diag: Tensor1

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

Definition Classes
DoubleSeq
69. def dim1: Int

Definition Classes
GrowableDenseTensor2Tensor2
70. def dim2: Int

Definition Classes
GrowableDenseTensor2Tensor2
71. def dimensions: Array[Int]

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

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

Definition Classes
DenseTensorLike2DenseTensorTensor

75. def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
GrowableDenseTensor2Tensor2Tensor
76. 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
77. final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
80. 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
81. 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
82. def expNormalized: Tensor

Definition Classes
Tensor
83. def exponentiate(): Unit

Definition Classes
MutableDoubleSeq
84. def finalize(): Unit

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

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

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

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

Definition Classes
DenseTensorTensor
89. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

Definition Classes
DenseDoubleSeqDoubleSeq
92. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

Definition Classes
AnyRef → Any
94. var hasLogged: Boolean

Definition Classes
DenseTensor
95. def hashCode(): Int

Definition Classes
AnyRef → Any
96. var haveWarned: Boolean

Definition Classes
DenseTensorLike2
97. final def index1(i: Int): Int

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

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

Definition Classes
DenseDoubleSeqDoubleSeq
100. def infinityNorm: Double

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

Definition Classes
DenseTensor
102. def isDense: Boolean

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

Definition Classes
Any
104. def isUniform: Boolean

Definition Classes
Tensor
105. 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
106. 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
107. def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
108. def leftMultiply(t: Tensor1): Tensor1

Definition Classes
Tensor2
109. final def length: Int

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

Definition Classes
DoubleSeq
111. def max: Double

Definition Classes
DenseDoubleSeqDoubleSeq
112. def maxIndex: Int

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

Definition Classes
DenseDoubleSeqDoubleSeq
114. def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
115. def min: Double

Definition Classes
DenseDoubleSeqDoubleSeq
116. def mkString: String

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

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

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

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

Definition Classes
AnyRef
121. def normalize(): Double

Definition Classes
MutableDoubleSeq
122. def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
123. def normalized: Tensor

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

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

Definition Classes
AnyRef
126. def numDimensions: Int

Definition Classes
Tensor2Tensor
127. def oneNorm: Double

Definition Classes
DenseDoubleSeqDoubleSeq
128. def oneNormalize(): Double

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

Definition Classes
Tensor
130. def printLength: Int

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

Definition Classes
DenseDoubleSeqDoubleSeq
132. 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
133. final def singleIndex(i: Int, j: Int): Int

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

Definition Classes
DoubleSeq
135. def stringPrefix: String

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

Definition Classes
MutableDoubleSeq
137. def sum: Double

Definition Classes
DenseDoubleSeqDoubleSeq
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
DenseDoubleSeqDoubleSeq
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 toTensor1: DenseTensor1

Definition Classes
DenseTensorLike2
143. 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
144. def trace: Double

Definition Classes
Tensor2
145. final def twoNorm: Double

Definition Classes
DoubleSeq
146. def twoNormSquared: Double

Definition Classes
DenseDoubleSeqDoubleSeq
147. def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
148. def twoSquaredNormalize(): Double

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

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

Definition Classes
Tensor2
151. final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )