cc.factorie.la

DenseTensorLike3

trait DenseTensorLike3 extends Tensor3 with DenseTensor

Linear Supertypes
Known Subclasses
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. DenseTensorLike3
  2. DenseTensor
  3. DenseDoubleSeq
  4. TensorWithMutableDefaultValue
  5. Tensor3
  6. Tensor
  7. Serializable
  8. Serializable
  9. MutableDoubleSeq
  10. IncrementableDoubleSeq
  11. DoubleSeq
  12. AnyRef
  13. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

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

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]): DenseTensorLike3.this.type

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

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

    Increment into this DenseTensor at an offset.

    Increment into this DenseTensor at an offset.

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

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

    Definition Classes
    Tensor3
  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
    DenseTensorMutableDoubleSeq
  28. def :=(a: Array[Double]): Unit

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

    Definition Classes
    DenseTensorMutableDoubleSeq
  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
    DenseDoubleSeqDoubleSeq
  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 _initialArray: Array[Double]

    Attributes
    protected
    Definition Classes
    DenseTensor
  38. def _resetValues(s: Int): Unit

    Attributes
    protected
    Definition Classes
    DenseTensor
  39. def _setArray(a: Array[Double]): Unit

    Attributes
    protected
    Definition Classes
    DenseTensor
  40. def _values: Array[Double]

    Attributes
    protected
    Definition Classes
    DenseTensor
  41. def _valuesSize: Int

    Attributes
    protected
    Definition Classes
    DenseTensor
  42. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  43. def activeDomain: IntSeq

    Definition Classes
    DenseTensorTensor
  44. def activeDomain1: RangeIntSeq

    Definition Classes
    DenseTensorLike3Tensor3
  45. def activeDomain2: RangeIntSeq

    Definition Classes
    DenseTensorLike3Tensor3
  46. def activeDomain3: RangeIntSeq

    Definition Classes
    DenseTensorLike3Tensor3
  47. def activeDomainSize: Int

    Definition Classes
    DenseTensorTensor
  48. def activeDomains: Array[IntSeq]

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

    Definition Classes
    Tensor
  50. 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
  51. def apply(i: Int): Double

    Definition Classes
    DenseTensorDoubleSeq
  52. def apply(i: Int, j: Int, k: Int): Double

    Definition Classes
    Tensor3
  53. 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
  54. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  56. def blankCopy: Tensor3

    Definition Classes
    Tensor3Tensor
  57. def clone(): AnyRef

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  59. def containsNaN: Boolean

    Definition Classes
    DenseDoubleSeqDoubleSeq
  60. def copy: Tensor3

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

    Definition Classes
    Tensor
  62. 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
  63. def defaultValue_*=(v: Double): Unit

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

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

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

    Definition Classes
    DoubleSeq
  67. def dimensions: Array[Int]

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

    Definition Classes
    Tensor3Tensor
  69. def dot(t2: DoubleSeq): Double

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

    Definition Classes
    Tensor3Tensor
  71. 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
  72. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  75. 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
  76. 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
  77. def expNormalized: Tensor

    Definition Classes
    Tensor
  78. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  79. def finalize(): Unit

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

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

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

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

    Definition Classes
    DenseTensorTensor
  84. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

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

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

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

    Definition Classes
    AnyRef → Any
  89. var hasLogged: Boolean

    Definition Classes
    DenseTensor
  90. def hashCode(): Int

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

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

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

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  95. def infinityNorm: Double

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

    Definition Classes
    DenseTensor
  97. def isDense: Boolean

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

    Definition Classes
    Any
  99. def isUniform: Boolean

    Definition Classes
    Tensor
  100. 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
  101. 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
  102. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  103. final def length: Int

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

    Definition Classes
    DoubleSeq
  105. def max: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  106. def maxIndex: Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  108. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  109. def min: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  110. def mkString: String

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

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

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

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

    Definition Classes
    AnyRef
  115. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  116. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  117. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  120. def numDimensions: Int

    Definition Classes
    Tensor3Tensor
  121. def oneNorm: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  122. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  124. def printLength: Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  126. 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
  127. final def singleIndex(i: Int, j: Int, k: Int): Int

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

    Definition Classes
    DoubleSeq
  129. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  131. def sum: Double

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

    Definition Classes
    AnyRef
  133. 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
  134. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  135. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  136. 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
  137. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  138. def twoNormSquared: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  139. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  140. def twoSquaredNormalize(): Double

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

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

    Definition Classes
    Tensor3
  143. final def wait(): Unit

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

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

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

Inherited from DenseTensor

Inherited from DenseDoubleSeq

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