cc.factorie.variable

Proportions1

trait Proportions1 extends Masses1 with Proportions

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Inherited
  1. Proportions1
  2. Proportions
  3. ReadOnlyTensor
  4. Masses1
  5. Masses
  6. Tensor1
  7. Tensor
  8. Serializable
  9. Serializable
  10. MutableDoubleSeq
  11. IncrementableDoubleSeq
  12. DoubleSeq
  13. AnyRef
  14. Any
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Abstract Value Members

  1. 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
  2. abstract def activeDomain: IntSeq

    Definition Classes
    Tensor1Tensor
  3. abstract def activeDomainSize: Int

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

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

    Definition Classes
    DoubleSeq
  6. abstract def containsNaN: Boolean

    Definition Classes
    DoubleSeq
  7. abstract def dim1: Int

    Definition Classes
    Tensor1
  8. abstract def dot(ds: DoubleSeq): Double

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

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

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

    Definition Classes
    DoubleSeq
  12. abstract def infinityNorm: Double

    Definition Classes
    DoubleSeq
  13. abstract def isDense: Boolean

    Definition Classes
    Tensor
  14. abstract def massTotal: Double

    Definition Classes
    Masses
  15. abstract def masses: Masses1

    Definition Classes
    Proportions1Proportions
  16. abstract def max: Double

    Definition Classes
    DoubleSeq
  17. abstract def maxIndex: Int

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

    Definition Classes
    DoubleSeq
  19. abstract def min: Double

    Definition Classes
    DoubleSeq
  20. abstract def oneNorm: Double

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

    Definition Classes
    DoubleSeq
  22. 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
  23. abstract def twoNormSquared: Double

    Definition Classes
    DoubleSeq

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 *(t: la.Tensor2): la.Tensor1

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

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

    Definition Classes
    Tensor
  11. def ++=(tensors: Iterable[Tensor]): Proportions1.this.type

    Definition Classes
    Tensor
  12. def +=(i: Int, incr: Double): Unit

  13. 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
  14. def +=(a: Array[Double], factor: Double): Unit

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

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

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

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

    Definition Classes
    IncrementableDoubleSeq
  19. def -(t: la.Tensor1): la.Tensor1

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Definition Classes
    Any
  37. def abs(): Unit

    Definition Classes
    MutableDoubleSeq
  38. def activeDomain1: IntSeq

    Definition Classes
    Tensor1
  39. def activeDomains: Array[IntSeq]

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

    Definition Classes
    Tensor
  41. 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
  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: la.Tensor1

    Definition Classes
    Tensor1Tensor
  46. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  47. def copy: la.Tensor1

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

    Definition Classes
    Tensor
  49. 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
  50. def different(t: DoubleSeq, threshold: Double): Boolean

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

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

    Definition Classes
    Tensor1Tensor
  53. def ensureDimensionsMatch(t: Tensor): Unit

    Definition Classes
    Tensor1Tensor
  54. 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
  55. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    Tensor
  58. 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
  59. 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
  60. def expNormalized: Tensor

    Definition Classes
    Tensor
  61. def exponentiate(): Unit

    Definition Classes
    MutableDoubleSeq
  62. def finalize(): Unit

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef → Any
  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
    Tensor1DoubleSeq
    Annotations
    @inline()
  77. def logpr(index: Int): Double

    Definition Classes
    Masses
  78. def map(f: (Double) ⇒ Double): DoubleSeq

    Definition Classes
    DoubleSeq
  79. def maxNormalize(): Unit

    Definition Classes
    MutableDoubleSeq
  80. def maxToStringLength: Int

    Definition Classes
    Masses
  81. def mkString: String

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

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

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

    Definition Classes
    AnyRef
  85. def normalize(): Double

    Definition Classes
    MutableDoubleSeq
  86. def normalizeLogProb(): Double

    expNormalize, then put back into log-space.

    expNormalize, then put back into log-space.

    Definition Classes
    MutableDoubleSeq
  87. def normalized: Tensor

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

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

    Definition Classes
    AnyRef
  90. def numDimensions: Int

    Definition Classes
    Tensor1Tensor
  91. def oneNormalize(): Double

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

    Definition Classes
    Tensor
  93. final def pr(i: Int): Double

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

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

    Definition Classes
    ProportionsMasses
    Annotations
    @inline()
  94. def printLength: Int

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

    Definition Classes
    Tensor1
  96. 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
  97. final def size: Int

    Definition Classes
    DoubleSeq
  98. def stringPrefix: String

    Definition Classes
    ProportionsMassesTensor
  99. def substitute(oldValue: Double, newValue: Double): Unit

    Definition Classes
    MutableDoubleSeq
  100. def sum: Double

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

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

    With copied contents

    With copied contents

    Definition Classes
    DoubleSeq
  103. def toString(): String

    Definition Classes
    ProportionsMassesTensor → AnyRef → Any
  104. 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
  105. final def twoNorm: Double

    Definition Classes
    DoubleSeq
  106. def twoNormalize(): Double

    Definition Classes
    MutableDoubleSeq
  107. def twoSquaredNormalize(): Double

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

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

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

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

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

Inherited from Proportions

Inherited from ReadOnlyTensor

Inherited from Masses1

Inherited from Masses

Inherited from la.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