DenseTensor

trait DenseTensor extends Tensor with TensorWithMutableDefaultValue with DenseDoubleSeq

Linear Supertypes
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Inherited
1. DenseTensor
2. DenseDoubleSeq
3. TensorWithMutableDefaultValue
4. Tensor
5. Serializable
6. Serializable
7. MutableDoubleSeq
8. IncrementableDoubleSeq
9. DoubleSeq
10. AnyRef
11. Any
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Visibility
1. Public
2. All

Abstract Value Members

1. abstract def activeDomains: Array[IntSeq]

Definition Classes
Tensor
2. abstract def blankCopy: Tensor

Definition Classes
Tensor
3. abstract def copy: Tensor

Definition Classes
Tensor
4. abstract def dimensions: Array[Int]

Definition Classes
Tensor
5. abstract def length: Int

Definition Classes
DoubleSeq
6. abstract def numDimensions: Int

Definition Classes
Tensor

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]): DenseTensor.this.type

Definition Classes
Tensor
10. def +=(t: DoubleSeq, offset: Int, f: Double): Unit

Increment into this DenseTensor at an offset.

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

Definition Classes
DenseTensorIncrementableDoubleSeq

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 +=(a: Array[Double]): Unit

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

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

Definition Classes
IncrementableDoubleSeq
18. def -(that: Tensor): Tensor

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

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

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

Definition Classes
IncrementableDoubleSeq
22. def /(v: Double): Tensor

Definition Classes
Tensor
23. def /=(ds: DoubleSeq): Unit

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

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

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

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

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

Definition Classes
DenseTensorMutableDoubleSeq
29. def :=(d: Double): Unit

Definition Classes
MutableDoubleSeq
30. 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
31. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

Definition Classes
Any

Attributes
protected

Attributes
protected

Attributes
protected

Attributes
protected

Attributes
protected
41. def abs(): Unit

Definition Classes
MutableDoubleSeq
42. def activeDomain: IntSeq

Definition Classes
DenseTensorTensor
43. def activeDomainSize: Int

Definition Classes
DenseTensorTensor
44. def activeElements: Iterator[(Int, Double)]

Definition Classes
Tensor
45. 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
46. def apply(i: Int): Double

Definition Classes
DenseTensorDoubleSeq
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
DenseTensorDoubleSeq
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 clone(): AnyRef

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

Definition Classes
DenseDoubleSeqDoubleSeq
52. def containsNaN: Boolean

Definition Classes
DenseDoubleSeqDoubleSeq
53. def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
54. 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

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

Definition Classes
DoubleSeq
59. def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor
60. def dot(t2: DoubleSeq): Double

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

Definition Classes
Tensor
62. 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
63. final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
66. 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
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 expNormalized: Tensor

Definition Classes
Tensor
69. def exponentiate(): Unit

Definition Classes
MutableDoubleSeq
70. def finalize(): Unit

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

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

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

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

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

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

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

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

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

Definition Classes
AnyRef → Any

81. def hashCode(): Int

Definition Classes
AnyRef → Any
82. def indexOf(d: Double): Int

Definition Classes
DenseDoubleSeqDoubleSeq
83. def infinityNorm: Double

Definition Classes
DenseDoubleSeqDoubleSeq

85. def isDense: Boolean

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

Definition Classes
Any
87. def isUniform: Boolean

Definition Classes
Tensor
88. 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
89. 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
90. def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
91. def map(f: (Double) ⇒ Double): DoubleSeq

Definition Classes
DoubleSeq
92. def max: Double

Definition Classes
DenseDoubleSeqDoubleSeq
93. def maxIndex: Int

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

Definition Classes
DenseDoubleSeqDoubleSeq
95. def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
96. def min: Double

Definition Classes
DenseDoubleSeqDoubleSeq
97. def mkString: String

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

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

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

Definition Classes
AnyRef
101. def normalize(): Double

Definition Classes
MutableDoubleSeq
102. def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
103. def normalized: Tensor

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

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

Definition Classes
AnyRef
106. def oneNorm: Double

Definition Classes
DenseDoubleSeqDoubleSeq
107. def oneNormalize(): Double

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

Definition Classes
Tensor
109. def printLength: Int

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

Definition Classes
DenseDoubleSeqDoubleSeq
111. 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
112. final def size: Int

Definition Classes
DoubleSeq
113. def stringPrefix: String

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

Definition Classes
MutableDoubleSeq
115. def sum: Double

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

Definition Classes
AnyRef
117. 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
118. def toSeq: Seq[Double]

With copied contents

With copied contents

Definition Classes
DoubleSeq
119. def toString(): String

Definition Classes
Tensor → AnyRef → Any
120. 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
121. final def twoNorm: Double

Definition Classes
DoubleSeq
122. def twoNormSquared: Double

Definition Classes
DenseDoubleSeqDoubleSeq
123. def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
124. def twoSquaredNormalize(): Double

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

Definition Classes
DenseTensorTensorMutableDoubleSeq
126. final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )