cc.factorie.la

Tensor3

trait Tensor3 extends Tensor

Linear Supertypes
Tensor, Serializable, Serializable, MutableDoubleSeq, IncrementableDoubleSeq, DoubleSeq, AnyRef, Any
Known Subclasses
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Inherited
  1. Tensor3
  2. Tensor
  3. Serializable
  4. Serializable
  5. MutableDoubleSeq
  6. IncrementableDoubleSeq
  7. DoubleSeq
  8. AnyRef
  9. Any
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Abstract Value Members

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

  2. abstract 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
    DoubleSeq
  3. abstract def activeDomain: IntSeq

    Definition Classes
    Tensor
  4. abstract def activeDomain1: IntSeq

  5. abstract def activeDomain2: IntSeq

  6. abstract def activeDomain3: IntSeq

  7. abstract def activeDomainSize: Int

    Definition Classes
    Tensor
  8. abstract def apply(i: Int): Double

    Definition Classes
    DoubleSeq
  9. abstract def contains(d: Double): Boolean

    Definition Classes
    DoubleSeq
  10. abstract def containsNaN: Boolean

    Definition Classes
    DoubleSeq
  11. abstract def dim1: Int

  12. abstract def dim2: Int

  13. abstract def dim3: Int

  14. abstract def dot(ds: DoubleSeq): Double

    Definition Classes
    Tensor
  15. abstract def forallActiveElements(f: (Int, Double) ⇒ Boolean): Boolean

    Definition Classes
    Tensor
  16. abstract def foreachActiveElement(f: (Int, Double) ⇒ Unit): Unit

    Definition Classes
    DoubleSeq
  17. abstract def indexOf(d: Double): Int

    Definition Classes
    DoubleSeq
  18. abstract def infinityNorm: Double

    Definition Classes
    DoubleSeq
  19. abstract def isDense: Boolean

    Definition Classes
    Tensor
  20. abstract def max: Double

    Definition Classes
    DoubleSeq
  21. abstract def maxIndex: Int

    Definition Classes
    DoubleSeq
  22. abstract def maxIndex2: (Int, Int)

    Definition Classes
    DoubleSeq
  23. abstract def min: Double

    Definition Classes
    DoubleSeq
  24. abstract def oneNorm: Double

    Definition Classes
    DoubleSeq
  25. abstract def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    DoubleSeq
  26. abstract def sum: Double

    Definition Classes
    DoubleSeq
  27. abstract 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
    DoubleSeq
  28. abstract def twoNormSquared: Double

    Definition Classes
    DoubleSeq
  29. abstract def update(i: Int, v: Double): Unit

    Definition Classes
    TensorMutableDoubleSeq
  30. abstract def zero(): Unit

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 *=(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]): Tensor3.this.type

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

  11. 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
  12. def +=(a: Array[Double], factor: Double): Unit

    Definition Classes
    IncrementableDoubleSeq
  13. def +=(ds: DoubleSeq, factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    Any
  34. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  35. def activeDomains: Array[IntSeq]

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

    Definition Classes
    Tensor
  37. 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
  38. def apply(i: Int, j: Int, k: Int): Double

  39. 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
  40. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  42. def blankCopy: Tensor3

    Definition Classes
    Tensor3Tensor
  43. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. def copy: Tensor3

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

    Definition Classes
    Tensor
  46. 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
  47. def different(t: DoubleSeq, threshold: Double): Boolean

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

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

    Definition Classes
    Tensor3Tensor
  50. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor3Tensor
  51. 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
  52. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  55. 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
  56. 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
  57. def expNormalized: Tensor

    Definition Classes
    Tensor
  58. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  59. def finalize(): Unit

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

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

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

    Definition Classes
    DoubleSeq
  63. def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

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

    Definition Classes
    DoubleSeq
  65. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

    Definition Classes
    AnyRef → Any
  67. def hashCode(): Int

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

    Annotations
    @inline()
  69. final def index2(i: Int): Int

    Annotations
    @inline()
  70. final def index3(i: Int): Int

    Annotations
    @inline()
  71. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  72. def isUniform: Boolean

    Definition Classes
    Tensor
  73. 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
  74. 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
  75. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  76. final def length: Int

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

    Definition Classes
    DoubleSeq
  78. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  79. def mkString: String

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

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

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

    Annotations
    @inline()
  83. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  84. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  85. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  86. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  89. def numDimensions: Int

    Definition Classes
    Tensor3Tensor
  90. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  92. def printLength: Int

    Definition Classes
    Tensor
  93. 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
  94. final def singleIndex(i: Int, j: Int, k: Int): Int

    Annotations
    @inline()
  95. final def size: Int

    Definition Classes
    DoubleSeq
  96. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  98. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  99. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  100. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  101. 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
  102. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  103. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  104. def twoSquaredNormalize(): Double

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

  106. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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