cc.factorie.la

SparseHashTensor1

class SparseHashTensor1 extends Tensor1 with SparseDoubleSeq

A Tensor1 that may contain mostly zeros, with a few arbitrary non-zeros, represented compactly in memory, implemented as a HashMap from Int indices to Double values.

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Inherited
  1. SparseHashTensor1
  2. SparseDoubleSeq
  3. Tensor1
  4. Tensor
  5. Serializable
  6. Serializable
  7. MutableDoubleSeq
  8. IncrementableDoubleSeq
  9. DoubleSeq
  10. AnyRef
  11. Any
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Instance Constructors

  1. new SparseHashTensor1(dim1: Int)

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 *(t: Tensor2): Tensor1

    Definition Classes
    Tensor1
  5. def *(f: Double): Tensor1

    Definition Classes
    Tensor1Tensor
  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 +(t: Tensor1): Tensor1

    Definition Classes
    Tensor1
  10. def +(that: Tensor): Tensor

    Definition Classes
    Tensor
  11. def ++=(tensors: Iterable[Tensor]): SparseHashTensor1.this.type

    Definition Classes
    Tensor
  12. def +=(s: Double): Unit

  13. def +=(v: Tensor1): Unit

  14. def +=(index: Int, incr: Double): Unit

  15. 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
  16. def +=(a: Array[Double], factor: Double): Unit

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  20. def -(t: Tensor1): Tensor1

    Definition Classes
    Tensor1
  21. def -(that: Tensor): Tensor

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  25. def /(f: Double): Tensor1

    Definition Classes
    Tensor1Tensor
  26. def /=(ds: DoubleSeq): Unit

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

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

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

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

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

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

    Definition Classes
    MutableDoubleSeq
  33. 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
    SparseDoubleSeqDoubleSeq
  34. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

    Definition Classes
    Any
  39. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  40. def activeDomain: IntSeq

    Definition Classes
    SparseHashTensor1SparseDoubleSeqTensor1Tensor
  41. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  42. def activeDomainSize: Int

    Definition Classes
    SparseHashTensor1SparseDoubleSeqTensor
  43. def activeDomains: Array[IntSeq]

    Definition Classes
    Tensor1Tensor
  44. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    SparseHashTensor1Tensor
  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(index: Int): Double

    Definition Classes
    SparseHashTensor1DoubleSeq
  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: Tensor1

    Definition Classes
    Tensor1Tensor
  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: Tensor1

    Definition Classes
    Tensor1Tensor
  55. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  56. var default: Double

  57. 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
  58. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  59. val dim1: Int

    Definition Classes
    SparseHashTensor1Tensor1
  60. def dimensions: Array[Int]

    Definition Classes
    Tensor1Tensor
  61. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor1Tensor
  62. def dot(v: DoubleSeq): Double

    Definition Classes
    SparseHashTensor1Tensor
  63. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor1Tensor
  64. 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
  65. final def eq(arg0: AnyRef): Boolean

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

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

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

    Definition Classes
    Tensor
  71. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  72. def finalize(): Unit

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

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

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

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

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

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

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

    Definition Classes
    SparseHashTensor1DoubleSeq
  80. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  84. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  85. def isDense: Boolean

    Definition Classes
    SparseHashTensor1Tensor
  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
    SparseDoubleSeqDoubleSeq
  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
    SparseDoubleSeqDoubleSeq
  90. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  91. final def length: Int

    Definition Classes
    Tensor1DoubleSeq
    Annotations
    @inline()
  92. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  93. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  94. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  96. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  97. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  98. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  102. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  103. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  104. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  107. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  108. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  109. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  111. def printLength: Int

    Definition Classes
    Tensor
  112. def reshape(dim: Array[Int]): Tensor

    Definition Classes
    Tensor1
  113. def sampleIndex(normalizer: Double)(implicit r: Random): Int

    Definition Classes
    SparseDoubleSeqDoubleSeq
  114. 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
  115. final def size: Int

    Definition Classes
    DoubleSeq
  116. def stringPrefix: String

    Definition Classes
    Tensor1Tensor
  117. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  118. def sum: Double

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

    Definition Classes
    AnyRef
  120. 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
  121. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  122. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  123. 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
  124. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  125. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  126. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  127. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  128. def update(index: Int, value: Double): Unit

    Definition Classes
    SparseHashTensor1TensorMutableDoubleSeq
  129. final def wait(): Unit

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

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

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

Inherited from SparseDoubleSeq

Inherited from Tensor1

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