cc.factorie.la

TensorTimesScalar

class TensorTimesScalar extends Tensor with ReadOnlyTensor with SparseDoubleSeq

An lazy product of a Vector and a scalar. Note that changes in the underlying Tensor will also show up here.

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

  1. new TensorTimesScalar(tensor: Tensor, scalar: Double)

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 *(scalar: Double): TensorTimesScalar

    Definition Classes
    TensorTimesScalarTensor
  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]): TensorTimesScalar.this.type

    Definition Classes
    Tensor
  10. def +=(i: Int, incr: 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. 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
  30. final def =+(a: Array[Double], f: Double): Unit

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

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

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

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

    Definition Classes
    Any
  35. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  36. def activeDomain: IntSeq

    Definition Classes
    TensorTimesScalarSparseDoubleSeqTensor
  37. def activeDomainSize: Int

    Definition Classes
    TensorTimesScalarSparseDoubleSeqTensor
  38. def activeDomains: Array[IntSeq]

    Definition Classes
    TensorTimesScalarTensor
  39. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    Tensor
  40. 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
  41. def apply(index: Int): Double

    Definition Classes
    TensorTimesScalarDoubleSeq
  42. 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
  43. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  45. def blankCopy: Tensor

    Definition Classes
    TensorTimesScalarTensor
  46. def clone(): AnyRef

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  48. def containsNaN: Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  49. def copy: Tensor

    Definition Classes
    TensorTimesScalarTensor
  50. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  51. 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
  52. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    SparseDoubleSeqDoubleSeq
  53. def dimensions: Array[Int]

    Definition Classes
    TensorTimesScalarTensor
  54. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor
  55. def dot(t: DoubleSeq): Double

    Definition Classes
    TensorTimesScalarTensor
  56. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor
  57. 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
  58. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  61. 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
  62. 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
  63. def expNormalized: Tensor

    Definition Classes
    Tensor
  64. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  65. def finalize(): Unit

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

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

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

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

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

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

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

    Definition Classes
    TensorTimesScalarDoubleSeq
  73. def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

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

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  77. def infinityNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  78. def isDense: Boolean

    Definition Classes
    TensorTimesScalarTensor
  79. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  80. def isUniform: Boolean

    Definition Classes
    Tensor
  81. 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
  82. 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
  83. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  84. def length: Int

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

    Definition Classes
    DoubleSeq
  86. def max: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  87. def maxIndex: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  89. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  90. def min: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  91. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  95. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  96. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  97. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  100. def numDimensions: Int

    Definition Classes
    TensorTimesScalarTensor
  101. def oneNorm: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  102. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  104. def printLength: Int

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

    Definition Classes
    SparseDoubleSeqDoubleSeq
  106. 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
  107. val scalar: Double

  108. final def size: Int

    Definition Classes
    DoubleSeq
  109. def stringPrefix: String

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

    Definition Classes
    MutableDoubleSeq
  111. def sum: Double

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

    Definition Classes
    AnyRef
  113. val tensor: Tensor

  114. 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
  115. def toSeq: Seq[Double]

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  116. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  117. 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
  118. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  119. def twoNormSquared: Double

    Definition Classes
    SparseDoubleSeqDoubleSeq
  120. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  121. def twoSquaredNormalize(): Double

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

    Definition Classes
    ReadOnlyTensorTensorMutableDoubleSeq
  123. final def wait(): Unit

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

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

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

Inherited from SparseDoubleSeq

Inherited from ReadOnlyTensor

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