cc.factorie.variable

Masses

trait Masses extends Tensor

A Tensor containing only non-negative entries. These are also the basis for Proportions.

Linear Supertypes
Tensor, Serializable, Serializable, MutableDoubleSeq, IncrementableDoubleSeq, DoubleSeq, AnyRef, Any
Known Subclasses
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Inherited
  1. Masses
  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 activeDomainSize: Int

    Definition Classes
    Tensor
  5. abstract def activeDomains: Array[IntSeq]

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

    Definition Classes
    DoubleSeq
  7. abstract def blankCopy: Tensor

    Definition Classes
    Tensor
  8. abstract def contains(d: Double): Boolean

    Definition Classes
    DoubleSeq
  9. abstract def containsNaN: Boolean

    Definition Classes
    DoubleSeq
  10. abstract def copy: Tensor

    Definition Classes
    Tensor
  11. abstract def dimensions: Array[Int]

    Definition Classes
    Tensor
  12. abstract def dot(ds: DoubleSeq): Double

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

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

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

    Definition Classes
    DoubleSeq
  16. abstract def infinityNorm: Double

    Definition Classes
    DoubleSeq
  17. abstract def isDense: Boolean

    Definition Classes
    Tensor
  18. abstract def length: Int

    Definition Classes
    DoubleSeq
  19. abstract def massTotal: Double

  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 numDimensions: Int

    Definition Classes
    Tensor
  25. abstract def oneNorm: Double

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

    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]): Masses.this.type

    Definition Classes
    Tensor
  10. 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
  11. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    Any
  33. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  34. def activeElements: Iterator[(Int, Double)]

    Definition Classes
    Tensor
  35. 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
  36. 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
  37. final def asInstanceOf[T0]: T0

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

    With uncopied contents

    With uncopied contents

    Definition Classes
    DoubleSeq
  39. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. def cosineSimilarity(t: DoubleSeq): Double

    Definition Classes
    Tensor
  41. 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
  42. def different(t: DoubleSeq, threshold: Double): Boolean

    Definition Classes
    DoubleSeq
  43. def dimensionsMatch(t: Tensor): Boolean

    Definition Classes
    Tensor
  44. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor
  45. 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
  46. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  49. 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
  50. 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
  51. def expNormalized: Tensor

    Definition Classes
    Tensor
  52. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  53. def finalize(): Unit

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef → Any
  62. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  63. def isUniform: Boolean

    Definition Classes
    Tensor
  64. 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
  65. 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
  66. def l2Similarity(t: DoubleSeq): Double

    Definition Classes
    DoubleSeq
  67. def logpr(index: Int): Double

  68. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  69. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  70. def maxToStringLength: Int

  71. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  75. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  76. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  77. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  80. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  82. def pr(index: Int): Double

    Get a normalized entry in this Masses, which can be interpreted as a probability.

  83. def printLength: Int

    Definition Classes
    Tensor
  84. 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
    MassesDoubleSeq
  85. final def size: Int

    Definition Classes
    DoubleSeq
  86. def stringPrefix: String

    Definition Classes
    MassesTensor
  87. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  88. def sum: Double

    Definition Classes
    MassesDoubleSeq
  89. final def synchronized[T0](arg0: ⇒ T0): T0

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

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  91. def toString(): String

    Definition Classes
    MassesTensor → AnyRef → Any
  92. 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
  93. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  94. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  95. def twoSquaredNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  96. final def wait(): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  98. 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