Outer2Tensor

trait Outer2Tensor extends ReadOnlyTensor with SparseDoubleSeq

Linear Supertypes
Known Subclasses
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Inherited
1. Outer2Tensor
2. SparseDoubleSeq
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 foreachActiveElement(f: (Int, Double) ⇒ Unit): Unit

Definition Classes
DoubleSeq
6. abstract def length: Int

Definition Classes
DoubleSeq
7. 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
Outer2TensorMutableDoubleSeq
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]): Outer2Tensor.this.type

Definition Classes
Tensor

11. 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
12. def +=(a: Array[Double], factor: Double): Unit

Definition Classes
IncrementableDoubleSeq
13. def +=(ds: DoubleSeq, factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

Definition Classes
MutableDoubleSeq
27. def :=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
28. def :=(d: Double): Unit

Definition Classes
MutableDoubleSeq
29. def =+(a: Array[Double], offset: Int, vv: 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
Outer2TensorSparseDoubleSeqDoubleSeq
30. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

Definition Classes
Any
35. def abs(): Unit

Definition Classes
MutableDoubleSeq
36. def activeDomain: Outer2IntSeq

Definition Classes
Outer2TensorSparseDoubleSeqTensor
37. def activeDomainSize: Int

Definition Classes
Outer2TensorSparseDoubleSeqTensor
38. def activeElements: Iterator[(Int, Double)]

Definition Classes
Tensor
39. 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
40. def apply(i: Int): Double

Definition Classes
Outer2TensorDoubleSeq
41. 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
42. final def asInstanceOf[T0]: T0

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

With uncopied contents

With uncopied contents

Definition Classes
DoubleSeq
44. def clone(): AnyRef

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

Definition Classes
SparseDoubleSeqDoubleSeq
46. def containsNaN: Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
47. def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
48. 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
49. def different(t: DoubleSeq, threshold: Double): Boolean

Definition Classes
SparseDoubleSeqDoubleSeq
50. def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor
51. def dot(ds: DoubleSeq): Double

Definition Classes
Outer2TensorTensor
52. def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor
53. 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
54. final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Tensor
57. 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
58. 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
59. def expNormalized: Tensor

Definition Classes
Tensor
60. def exponentiate(): Unit

Definition Classes
MutableDoubleSeq
61. def finalize(): Unit

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

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

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

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

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

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

Definition Classes
DoubleSeq
68. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

Definition Classes
SparseDoubleSeqDoubleSeq
72. def infinityNorm: Double

Definition Classes
SparseDoubleSeqDoubleSeq
73. def isDense: Boolean

Definition Classes
Outer2TensorTensor
74. final def isInstanceOf[T0]: Boolean

Definition Classes
Any
75. def isUniform: Boolean

Definition Classes
Tensor
76. 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
77. 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
78. def l2Similarity(t: DoubleSeq): Double

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

Definition Classes
DoubleSeq
80. def max: Double

Definition Classes
SparseDoubleSeqDoubleSeq
81. def maxIndex: Int

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

Definition Classes
SparseDoubleSeqDoubleSeq
83. def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
84. def min: Double

Definition Classes
SparseDoubleSeqDoubleSeq
85. def mkString: String

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

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

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

Definition Classes
AnyRef
89. def normalize(): Double

Definition Classes
MutableDoubleSeq
90. def normalizeLogProb(): Double

expNormalize, then put back into log-space.

expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
91. def normalized: Tensor

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

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

Definition Classes
AnyRef
94. def oneNorm: Double

Definition Classes
SparseDoubleSeqDoubleSeq
95. def oneNormalize(): Double

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

Definition Classes
Tensor
97. def printLength: Int

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

Definition Classes
SparseDoubleSeqDoubleSeq
99. 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

Annotations
@inline()
102. final def size: Int

Definition Classes
DoubleSeq
103. def stringPrefix: String

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

Definition Classes
MutableDoubleSeq
105. def sum: Double

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

Definition Classes
AnyRef
107. 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
108. def toSeq: Seq[Double]

With copied contents

With copied contents

Definition Classes
DoubleSeq
109. def toString(): String

Definition Classes
Tensor → AnyRef → Any
110. 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
111. final def twoNorm: Double

Definition Classes
DoubleSeq
112. def twoNormSquared: Double

Definition Classes
Outer2TensorSparseDoubleSeqDoubleSeq
113. def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
114. def twoSquaredNormalize(): Double

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

Definition Classes
116. final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )