SparseIndexedTensor1

class SparseIndexedTensor1 extends Tensor1 with ArraySparseIndexedTensor

Linear Supertypes
Known Subclasses
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Inherited
1. SparseIndexedTensor1
2. ArraySparseIndexedTensor
3. SparseIndexedTensor
4. SparseTensor
5. SparseDoubleSeq
6. Tensor1
7. Tensor
8. Serializable
9. Serializable
10. MutableDoubleSeq
11. IncrementableDoubleSeq
12. DoubleSeq
13. AnyRef
14. Any
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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

7. def *=(ds: DoubleSeq): 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]): SparseIndexedTensor1.this.type

Definition Classes
Tensor

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 -(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 Array "a" with the contents of this Tensor, but do so at "offset" into array and multiplied by factor "f".

Increment Array "a" with the contents of this Tensor, but do so at "offset" into array and multiplied by factor "f".

Definition Classes
ArraySparseIndexedTensorSparseDoubleSeqDoubleSeq
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
ArraySparseIndexedTensorSparseTensor
39. def _makeReadable(): Unit

Definition Classes
ArraySparseIndexedTensorSparseTensor
40. def _unsafeActiveDomainSize: Int

Definition Classes
ArraySparseIndexedTensorSparseTensor

42. def _valuesSeq: ArrayDoubleSeq

Definition Classes
SparseIndexedTensorSparseTensor
43. def abs(): Unit

Definition Classes
MutableDoubleSeq

45. def activeDomain1: IntSeq

Definition Classes
Tensor1

47. def activeDomains: Array[IntSeq]

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

Definition Classes
ArraySparseIndexedTensorTensor

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(index: Int): Double

Definition Classes
ArraySparseIndexedTensorDoubleSeq
52. 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
53. final def asInstanceOf[T0]: T0

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

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
55. def blankCopy: SparseIndexedTensor1

Definition Classes
SparseIndexedTensor1Tensor1Tensor
56. def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq
58. def containsNaN: Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
59. def copy: SparseIndexedTensor1

Definition Classes
SparseIndexedTensor1Tensor1Tensor
60. def copyInto(t: SparseIndexedTensor): Unit

Definition Classes
ArraySparseIndexedTensor
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
Tensor
63. def different(t: DoubleSeq, threshold: Double): Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
64. val dim1: Int

Definition Classes
SparseIndexedTensor1Tensor1
65. def dimensions: Array[Int]

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

Definition Classes
Tensor1Tensor
67. def dot(v: DoubleSeq): Double

Definition Classes
ArraySparseIndexedTensorTensor
68. def ensureCapacity(cap: Int): Unit

Definition Classes
ArraySparseIndexedTensor
69. def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor1Tensor
70. 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
71. final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
74. 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
ArraySparseIndexedTensorMutableDoubleSeq
75. 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
76. def expNormalized: Tensor

Definition Classes
Tensor

78. def finalize(): Unit

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

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

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

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

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

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

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

Definition Classes
ArraySparseIndexedTensorDoubleSeq
86. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

Definition Classes
AnyRef → Any
88. def hashCode(): Int

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

Definition Classes
SparseDoubleSeqDoubleSeq
90. def infinityNorm: Double

Definition Classes
SparseDoubleSeqDoubleSeq
91. def isDense: Boolean

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

Definition Classes
Any
93. def isUniform: Boolean

Definition Classes
Tensor
94. 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
95. 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
96. def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
97. final def length: Int

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

Definition Classes
DoubleSeq
99. def max: Double

Definition Classes
SparseDoubleSeqDoubleSeq
100. def maxIndex: Int

Definition Classes
SparseDoubleSeqDoubleSeq
101. def maxIndex2: (Int, Int)

Definition Classes
SparseDoubleSeqDoubleSeq

103. def min: Double

Definition Classes
SparseDoubleSeqDoubleSeq
104. def mkString: String

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

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

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

Definition Classes
AnyRef
108. def normalize(): Double

Definition Classes
MutableDoubleSeq
109. def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
110. def normalized: Tensor

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

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

Definition Classes
AnyRef
113. def numDimensions: Int

Definition Classes
Tensor1Tensor

115. def oneNormalize(): Double

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

Definition Classes
Tensor
117. def position(index: Int, start: Int): Int

Definition Classes
ArraySparseIndexedTensor
118. def position(index: Int): Int

Return the position at which index occurs, or -1 if index does not occur.

Return the position at which index occurs, or -1 if index does not occur.

Definition Classes
ArraySparseIndexedTensor
119. def printLength: Int

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
122. 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
123. final def size: Int

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

Definition Classes
ArraySparseIndexedTensorSparseTensor
125. def stringPrefix: String

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

Definition Classes
MutableDoubleSeq

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

Definition Classes
AnyRef
129. 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
ArraySparseIndexedTensorSparseDoubleSeqDoubleSeq
130. def toSeq: Seq[Double]

With copied contents

With copied contents

Definition Classes
DoubleSeq
131. def toString(): String

Definition Classes
ArraySparseIndexedTensorTensor → AnyRef → Any
132. 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
133. def trim(): Unit

Definition Classes
ArraySparseIndexedTensor
134. final def twoNorm: Double

Definition Classes
DoubleSeq

136. def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
137. def twoSquaredNormalize(): Double

Definition Classes
MutableDoubleSeq

139. final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )