cc.factorie.la

DenseLayeredTensorLike2

trait DenseLayeredTensorLike2 extends Tensor2 with SparseDoubleSeq

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Inherited
  1. DenseLayeredTensorLike2
  2. SparseDoubleSeq
  3. Tensor2
  4. Tensor
  5. Serializable
  6. Serializable
  7. MutableDoubleSeq
  8. IncrementableDoubleSeq
  9. DoubleSeq
  10. AnyRef
  11. Any
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Abstract Value Members

  1. abstract def dim1: Int

    Definition Classes
    Tensor2
  2. abstract def dim2: Int

    Definition Classes
    Tensor2
  3. abstract def newTensor1: (Int) ⇒ Tensor1

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 *(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]): DenseLayeredTensorLike2.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: Tensor2

    Definition Classes
    Tensor2Tensor
  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. def dimensions: Array[Int]

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

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

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

    Definition Classes
    Tensor2Tensor
  63. 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
  64. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  67. 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
  68. 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
  69. def expNormalized: Tensor

    Definition Classes
    Tensor
  70. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  71. def finalize(): Unit

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

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

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

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

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

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

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

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

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

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

    Attributes
    protected
  82. def hashCode(): Int

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  86. def infinityNorm: Double

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

  88. def isDense: Boolean

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

    Definition Classes
    Any
  90. def isUniform: Boolean

    Definition Classes
    Tensor
  91. 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
  92. 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
  93. def l2Similarity(t: DoubleSeq): Double

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

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  95. final def length: Int

    Definition Classes
    Tensor2DoubleSeq
    Annotations
    @inline()
  96. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  97. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  98. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  100. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  101. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  102. def mkString: String

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

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

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

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

    Definition Classes
    AnyRef
  107. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  108. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  109. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  112. def numDimensions: Int

    Definition Classes
    Tensor2Tensor
  113. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  114. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  116. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  118. 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
  119. final def singleIndex(i: Int, j: Int): Int

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

    Definition Classes
    DoubleSeq
  121. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  123. def sum: Double

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

    Definition Classes
    AnyRef
  125. 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
  126. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  127. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  128. 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
  129. def trace: Double

    Definition Classes
    Tensor2
  130. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  131. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  132. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  133. def twoSquaredNormalize(): Double

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

  135. def update(i: Int, j: Int, v: Double): Unit

    Definition Classes
    DenseLayeredTensorLike2Tensor2
  136. def update(i: Int, d: Double): Unit

  137. final def wait(): Unit

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

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

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

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