cc.factorie.la

ProxyGrowableDenseTensor1

class ProxyGrowableDenseTensor1 extends GrowableDenseTensor1

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Inherited
  1. ProxyGrowableDenseTensor1
  2. GrowableDenseTensor1
  3. DenseTensorLike1
  4. DenseTensor
  5. DenseDoubleSeq
  6. TensorWithMutableDefaultValue
  7. Tensor1
  8. Tensor
  9. Serializable
  10. Serializable
  11. MutableDoubleSeq
  12. IncrementableDoubleSeq
  13. DoubleSeq
  14. AnyRef
  15. Any
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Instance Constructors

  1. new ProxyGrowableDenseTensor1(sizeProxy: Iterable[Any])

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 *=(d: Double): Unit

    Definition Classes
    DenseTensorMutableDoubleSeq
  7. def *=(ds: DoubleSeq): 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]): ProxyGrowableDenseTensor1.this.type

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

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

  14. 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
  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 +=(a: Array[Double]): Unit

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

    Definition Classes
    IncrementableDoubleSeq
  19. def +=(d: Double): 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
    DenseTensorMutableDoubleSeq
  30. def :=(a: Array[Double]): Unit

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

    Definition Classes
    DenseTensorMutableDoubleSeq
  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
    DenseDoubleSeqDoubleSeq
  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 _initialArray: Array[Double]

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

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

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

    Attributes
    protected
    Definition Classes
    DenseTensor
  43. def _valuesSize: Int

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

    Definition Classes
    MutableDoubleSeq
  45. def activeDomain: IntSeq

    Definition Classes
    DenseTensorTensor
  46. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  47. def activeDomainSize: Int

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

    Definition Classes
    Tensor1Tensor
  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(index: Int): Double

    Definition Classes
    GrowableDenseTensor1DenseTensorDoubleSeq
  52. 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
  53. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  55. def blankCopy: GrowableDenseTensor1

  56. def clone(): AnyRef

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  58. def containsNaN: Boolean

    Definition Classes
    DenseDoubleSeqDoubleSeq
  59. def copy: ProxyGrowableDenseTensor1

  60. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  61. 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
  62. def defaultValue_*=(v: Double): Unit

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

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

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

    Definition Classes
    DoubleSeq
  66. def dim1: Int

  67. def dimensions: Array[Int]

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

    Definition Classes
    Tensor1Tensor
  69. def dot(t: DoubleSeq): Double

    Definition Classes
    DenseTensorLike1DenseTensorTensor
  70. def ensureDimensions(d1: Int): Unit

    Definition Classes
    GrowableDenseTensor1
  71. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    GrowableDenseTensor1Tensor1Tensor
  72. 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
  73. final def eq(arg0: AnyRef): Boolean

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

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

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

    Definition Classes
    Tensor
  79. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  80. def finalize(): Unit

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

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef → Any
  90. var hasLogged: Boolean

    Definition Classes
    DenseTensor
  91. def hashCode(): Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  93. def infinityNorm: Double

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

    Definition Classes
    DenseTensor
  95. def isDense: Boolean

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

    Definition Classes
    Any
  97. def isUniform: Boolean

    Definition Classes
    Tensor
  98. 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
  99. 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
  100. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  101. final def length: Int

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

    Definition Classes
    DoubleSeq
  103. def max: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  104. def maxIndex: Int

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  106. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  107. def min: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  108. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  112. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  113. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  114. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  117. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  118. def oneNorm: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  119. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  121. def printLength: Int

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

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

    Definition Classes
    DenseDoubleSeqDoubleSeq
  124. 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
  125. final def size: Int

    Definition Classes
    DoubleSeq
  126. val sizeProxy: Iterable[Any]

  127. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  129. def sum: Double

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

    Definition Classes
    AnyRef
  131. 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
  132. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  133. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  134. 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
  135. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  136. def twoNormSquared: Double

    Definition Classes
    DenseDoubleSeqDoubleSeq
  137. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  138. def twoSquaredNormalize(): Double

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

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

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

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

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

Inherited from GrowableDenseTensor1

Inherited from DenseTensorLike1

Inherited from DenseTensor

Inherited from DenseDoubleSeq

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