cc.factorie.la

Singleton2LayeredTensorLike3

trait Singleton2LayeredTensorLike3 extends Tensor3 with SparseDoubleSeq with ReadOnlyTensor

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Inherited
  1. Singleton2LayeredTensorLike3
  2. ReadOnlyTensor
  3. SparseDoubleSeq
  4. Tensor3
  5. Tensor
  6. Serializable
  7. Serializable
  8. MutableDoubleSeq
  9. IncrementableDoubleSeq
  10. DoubleSeq
  11. AnyRef
  12. Any
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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
  4. abstract def inner: Tensor1

  5. abstract def singleIndex1: Int

  6. abstract def singleIndex2: Int

  7. abstract def singleValue1: Double

  8. abstract def singleValue2: Double

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 *=(ds: DoubleSeq): Unit

    Definition Classes
    MutableDoubleSeq
  6. def *=(d: Double): 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]): Singleton2LayeredTensorLike3.this.type

    Definition Classes
    Tensor
  10. def +=(i: Int, incr: Double): Unit

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

    Definition Classes
    Tensor3
  12. 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
  13. def +=(a: Array[Double], factor: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  14. def +=(ds: DoubleSeq, 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
    MutableDoubleSeq
  27. def :=(a: Array[Double]): Unit

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

    Definition Classes
    MutableDoubleSeq
  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
    SparseDoubleSeqDoubleSeq
  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
  36. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  37. def activeDomain: IntSeq

  38. def activeDomain1: SingletonIntSeq

    Definition Classes
    Singleton2LayeredTensorLike3Tensor3
  39. def activeDomain2: SingletonIntSeq

    Definition Classes
    Singleton2LayeredTensorLike3Tensor3
  40. def activeDomain3: IntSeq

    Definition Classes
    Singleton2LayeredTensorLike3Tensor3
  41. def activeDomainSize: Int

  42. def activeDomains: Array[IntSeq]

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

    Definition Classes
    Tensor
  44. 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
  45. def apply(i: Int): Double

  46. def apply(i: Int, j: Int, k: Int): Double

    Definition Classes
    Singleton2LayeredTensorLike3Tensor3
  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
    DoubleSeq
  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 blankCopy: Tensor3

    Definition Classes
    Tensor3Tensor
  51. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  53. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  54. def copy: Tensor3

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

    Definition Classes
    Tensor
  56. 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
  57. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  58. def dimensions: Array[Int]

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

    Definition Classes
    Tensor3Tensor
  60. def dot(t: DoubleSeq): Double

    Definition Classes
    Singleton2LayeredTensorLike3Tensor
  61. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor3Tensor
  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
    SparseDoubleSeqDoubleSeq
  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(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
  67. 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
  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
    SparseDoubleSeq
  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

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

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

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

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

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  85. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  86. def isDense: Boolean

    Definition Classes
    Singleton2LayeredTensorLike3Tensor
  87. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  88. def isUniform: Boolean

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

    Definition Classes
    DoubleSeq
  92. final def length: Int

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

    Definition Classes
    DoubleSeq
  94. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  95. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  97. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  98. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  99. def mkString: String

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

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

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

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

    Definition Classes
    AnyRef
  104. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  105. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  106. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  109. def numDimensions: Int

    Definition Classes
    Tensor3Tensor
  110. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  111. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  113. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  115. 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
  116. final def singleIndex(i: Int, j: Int, k: Int): Int

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

    Definition Classes
    DoubleSeq
  118. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  120. def sum: Double

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

    Definition Classes
    AnyRef
  122. 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
  123. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  124. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  125. 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
  126. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  127. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  128. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  129. def twoSquaredNormalize(): Double

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

    Definition Classes
    Singleton2LayeredTensorLike3Tensor3
  131. def update(i: Int, v: Double): Unit

    Definition Classes
    ReadOnlyTensorTensorMutableDoubleSeq
  132. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  135. def zero(): Unit

Inherited from ReadOnlyTensor

Inherited from SparseDoubleSeq

Inherited from Tensor3

Inherited from Tensor

Inherited from Serializable

Inherited from Serializable

Inherited from MutableDoubleSeq

Inherited from IncrementableDoubleSeq

Inherited from DoubleSeq

Inherited from AnyRef

Inherited from Any

Ungrouped