cc.factorie.la

DenseTensor

trait DenseTensor extends Tensor with TensorWithMutableDefaultValue with DenseDoubleSeq

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Inherited
  1. DenseTensor
  2. DenseDoubleSeq
  3. TensorWithMutableDefaultValue
  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 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 length: Int

    Definition Classes
    DoubleSeq
  6. 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
    DenseTensorMutableDoubleSeq
  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]): DenseTensor.this.type

    Definition Classes
    Tensor
  10. def +=(t: DoubleSeq, offset: Int, f: Double): Unit

    Increment into this DenseTensor at an offset.

  11. def +=(t: DoubleSeq, f: Double): Unit

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

  13. 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
  14. def +=(a: Array[Double], 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
    DenseTensorMutableDoubleSeq
  27. def :=(a: Array[Double]): Unit

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

    Definition Classes
    DenseTensorMutableDoubleSeq
  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
    DenseDoubleSeqDoubleSeq
  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 _initialArray: Array[Double]

    Attributes
    protected
  37. def _resetValues(s: Int): Unit

    Attributes
    protected
  38. def _setArray(a: Array[Double]): Unit

    Attributes
    protected
  39. def _values: Array[Double]

    Attributes
    protected
  40. def _valuesSize: Int

    Attributes
    protected
  41. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  42. def activeDomain: IntSeq

    Definition Classes
    DenseTensorTensor
  43. def activeDomainSize: Int

    Definition Classes
    DenseTensorTensor
  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
    DenseTensorDoubleSeq
  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
    DenseTensorDoubleSeq
  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 clone(): AnyRef

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  52. def containsNaN: Boolean

    Definition Classes
    DenseDoubleSeqDoubleSeq
  53. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  54. 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
    DenseTensorTensor
  55. def defaultValue_*=(v: Double): Unit

  56. def defaultValue_+=(v: Double): Unit

  57. def defaultValue_=(v: Double): Unit

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

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

    Definition Classes
    Tensor
  60. def dot(t2: DoubleSeq): Double

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

    Definition Classes
    Tensor
  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
    DoubleSeq
  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(): 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
    DenseTensorMutableDoubleSeq
  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 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
    DenseTensorTensor
  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

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

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

    Definition Classes
    AnyRef → Any
  80. var hasLogged: Boolean

  81. def hashCode(): Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  83. def infinityNorm: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  84. def initializeRandomly(mean: Double = 0.0, variance: Double = 1.0)(implicit rng: Random): Unit

  85. def isDense: Boolean

    Definition Classes
    DenseTensorTensor
  86. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  87. def isUniform: Boolean

    Definition Classes
    Tensor
  88. 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
    DoubleSeq
  89. 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
    DoubleSeq
  90. def l2Similarity(t: DoubleSeq): Double

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

    Definition Classes
    DoubleSeq
  92. def max: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  93. def maxIndex: Int

    Definition Classes
    DenseDoubleSeqDoubleSeq
  94. def maxIndex2: (Int, Int)

    Definition Classes
    DenseDoubleSeqDoubleSeq
  95. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  96. def min: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  97. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  101. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  102. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  103. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  106. def oneNorm: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  107. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  109. def printLength: Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  111. 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
  112. final def size: Int

    Definition Classes
    DoubleSeq
  113. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  115. def sum: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  116. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  117. 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
    DenseDoubleSeqDoubleSeq
  118. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  119. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  120. 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
  121. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  122. def twoNormSquared: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  123. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  124. def twoSquaredNormalize(): Double

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

    Definition Classes
    DenseTensorTensorMutableDoubleSeq
  126. final def wait(): Unit

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

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

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

Inherited from DenseDoubleSeq

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