cc.factorie.la

Dense3LayeredTensor4

class Dense3LayeredTensor4 extends Dense3LayeredTensorLike4

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Inherited
  1. Dense3LayeredTensor4
  2. Dense3LayeredTensorLike4
  3. SparseDoubleSeq
  4. Tensor4
  5. Tensor
  6. Serializable
  7. Serializable
  8. MutableDoubleSeq
  9. IncrementableDoubleSeq
  10. DoubleSeq
  11. AnyRef
  12. Any
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  1. Public
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Instance Constructors

  1. new Dense3LayeredTensor4(dim1: Int, dim2: Int, dim3: Int, dim4: Int, newTensor1: (Int) ⇒ Tensor1)

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]): Dense3LayeredTensor4.this.type

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

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

    Definition Classes
    Tensor4
  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: RangeIntSeq

  38. def activeDomain1: RangeIntSeq

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  39. def activeDomain2: RangeIntSeq

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  40. def activeDomain3: RangeIntSeq

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  41. def activeDomain4: RangeIntSeq

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  42. def activeDomainSize: Int

  43. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor4Tensor
  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
    Dense3LayeredTensorLike4DoubleSeq
  47. def apply(i: Int, j: Int, k: Int, l: Int): Double

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  48. 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
  49. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  51. def blankCopy: Dense3LayeredTensor4

    Definition Classes
    Dense3LayeredTensor4Tensor4Tensor
  52. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  54. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  55. def copy: Tensor4

    Definition Classes
    Tensor4Tensor
  56. def cosineSimilarity(t: DoubleSeq): Double

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  59. val dim1: Int

    Definition Classes
    Dense3LayeredTensor4Tensor4
  60. val dim2: Int

    Definition Classes
    Dense3LayeredTensor4Tensor4
  61. val dim3: Int

    Definition Classes
    Dense3LayeredTensor4Tensor4
  62. val dim4: Int

    Definition Classes
    Dense3LayeredTensor4Tensor4
  63. def dimensions: Array[Int]

    Definition Classes
    Tensor4Tensor
  64. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor4Tensor
  65. def dot(t: DoubleSeq): Double

    Definition Classes
    Dense3LayeredTensorLike4Tensor
  66. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor4Tensor
  67. 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
  68. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  71. 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
  72. 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
  73. def expNormalized: Tensor

    Definition Classes
    Tensor
  74. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  75. def finalize(): Unit

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

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

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

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

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

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

    Definition Classes
    DoubleSeq
  82. def foreachActiveElement(f: (Int, Double) ⇒ Unit): Nothing

    Definition Classes
    Dense3LayeredTensorLike4DoubleSeq
  83. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

    Definition Classes
    AnyRef → Any
  85. def getInner(i: Int, j: Int, k: Int): Tensor1

    Attributes
    protected
    Definition Classes
    Dense3LayeredTensorLike4
  86. def hashCode(): Int

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

    Definition Classes
    Tensor4
    Annotations
    @inline()
  88. final def index2(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  89. final def index3(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  90. final def index4(i: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  91. def indexOf(d: Double): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  92. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  93. def isDense: Boolean

    Definition Classes
    Dense3LayeredTensorLike4Tensor
  94. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  95. def isUniform: Boolean

    Definition Classes
    Tensor
  96. 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
  97. 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
  98. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  99. final def length: Int

    Definition Classes
    Tensor4DoubleSeq
    Annotations
    @inline()
  100. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  101. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  102. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  104. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  105. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  106. def mkString: String

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

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

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

    Definition Classes
    Tensor4
    Annotations
    @inline()
  110. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  111. val newTensor1: (Int) ⇒ Tensor1

  112. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  113. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  114. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  117. def numDimensions: Int

    Definition Classes
    Tensor4Tensor
  118. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  119. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  121. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  123. 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
  124. final def singleIndex(i: Int, j: Int, k: Int, l: Int): Int

    Definition Classes
    Tensor4
    Annotations
    @inline()
  125. final def size: Int

    Definition Classes
    DoubleSeq
  126. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  128. def sum: Double

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

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

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  132. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  133. 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
  134. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  135. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  136. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  137. def twoSquaredNormalize(): Double

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

    Definition Classes
    Dense3LayeredTensorLike4Tensor4
  139. def update(i: Int, v: Double): Unit

  140. final def wait(): Unit

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

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

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

Inherited from Dense3LayeredTensorLike4

Inherited from SparseDoubleSeq

Inherited from Tensor4

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