cc.factorie.la

DenseLayeredTensor2

class DenseLayeredTensor2 extends DenseLayeredTensorLike2

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Inherited
  1. DenseLayeredTensor2
  2. DenseLayeredTensorLike2
  3. SparseDoubleSeq
  4. Tensor2
  5. Tensor
  6. Serializable
  7. Serializable
  8. MutableDoubleSeq
  9. IncrementableDoubleSeq
  10. DoubleSeq
  11. AnyRef
  12. Any
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Instance Constructors

  1. new DenseLayeredTensor2(dim1: Int, dim2: Int)

  2. new DenseLayeredTensor2(dim1: Int, dim2: 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 *(other: Tensor1): Tensor1

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  5. def *(v: Double): Tensor

    Definition Classes
    Tensor
  6. def *=(ds: DoubleSeq): Unit

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

    Definition Classes
    MutableDoubleSeq
  8. def *=(i: Int, incr: Double): Unit

    Definition Classes
    MutableDoubleSeq
  9. def +(that: Tensor): Tensor

    Definition Classes
    Tensor
  10. def ++=(tensors: Iterable[Tensor]): DenseLayeredTensor2.this.type

    Definition Classes
    Tensor
  11. def +=(ds: DoubleSeq, f: Double): Unit

  12. def +=(i: Int, incr: Double): Unit

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

    Definition Classes
    Tensor2
  14. 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
  15. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  31. 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
    DenseLayeredTensorLike2SparseDoubleSeqDoubleSeq
  32. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

    Definition Classes
    Any
  37. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  38. def activeDomain: ArrayIntSeq

  39. def activeDomain1: TruncatedArrayIntSeq

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  40. def activeDomain2: RangeIntSeq

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  41. def activeDomainSize: Int

  42. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor2Tensor
  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

    Definition Classes
    DenseLayeredTensorLike2Tensor2DoubleSeq
  46. def apply(i: Int, j: Int): Double

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  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: DenseLayeredTensor2

    Definition Classes
    DenseLayeredTensor2Tensor2Tensor
  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: Tensor2

    Definition Classes
    Tensor2Tensor
  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 diag: Tensor1

    Definition Classes
    Tensor2
  58. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  59. val dim1: Int

    Definition Classes
    DenseLayeredTensor2Tensor2
  60. val dim2: Int

    Definition Classes
    DenseLayeredTensor2Tensor2
  61. def dimensions: Array[Int]

    Definition Classes
    Tensor2Tensor
  62. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor2Tensor
  63. def dot(t: DoubleSeq): Double

    Definition Classes
    DenseLayeredTensorLike2Tensor
  64. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor2Tensor
  65. 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
  66. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  69. 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
  70. 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
  71. def expNormalized: Tensor

    Definition Classes
    Tensor
  72. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  73. def finalize(): Unit

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

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

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

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

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

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

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

    Definition Classes
    DenseLayeredTensorLike2DoubleSeq
  81. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

    Definition Classes
    AnyRef → Any
  83. def getInner(i: Int): Tensor1

    Attributes
    protected
    Definition Classes
    DenseLayeredTensorLike2
  84. def hashCode(): Int

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

    Definition Classes
    Tensor2
    Annotations
    @inline()
  86. final def index2(i: Int): Int

    Definition Classes
    Tensor2
    Annotations
    @inline()
  87. def indexOf(d: Double): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  88. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  89. def inner(i: Int): Tensor1

    Definition Classes
    DenseLayeredTensorLike2
  90. def isDense: Boolean

    Definition Classes
    DenseLayeredTensorLike2Tensor
  91. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  92. def isUniform: Boolean

    Definition Classes
    Tensor
  93. 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
  94. 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
  95. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  96. def leftMultiply(other: Tensor1): Tensor1

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  97. final def length: Int

    Definition Classes
    Tensor2DoubleSeq
    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
  102. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  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 multiIndex(i: Int): (Int, Int)

    Definition Classes
    Tensor2
    Annotations
    @inline()
  108. final def ne(arg0: AnyRef): Boolean

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

  110. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  111. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  112. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  115. def numDimensions: Int

    Definition Classes
    Tensor2Tensor
  116. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  117. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  119. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  121. 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
  122. final def singleIndex(i: Int, j: Int): Int

    Definition Classes
    Tensor2
    Annotations
    @inline()
  123. final def size: Int

    Definition Classes
    DoubleSeq
  124. def stringPrefix: String

    Definition Classes
    DenseLayeredTensor2Tensor
  125. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  126. def sum: Double

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

    Definition Classes
    AnyRef
  128. 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
  129. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  130. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  131. 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
  132. def trace: Double

    Definition Classes
    Tensor2
  133. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  134. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  135. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  136. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  137. def update(i: Int, t: Tensor1): Unit

    Definition Classes
    DenseLayeredTensorLike2
  138. def update(i: Int, j: Int, v: Double): Unit

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  139. def update(i: Int, d: 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 DenseLayeredTensorLike2

Inherited from SparseDoubleSeq

Inherited from Tensor2

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