vector
0.101
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vector/ai.dragonfly.math.stats.probability.distributions.stream

ai.dragonfly.math.stats.probability.distributions.stream

package ai.dragonfly.math.stats.probability.distributions.stream

Members list

Concise view

Type members

Classlikes

class Beta extends OnlineUnivariateProbabilityDistributionEstimator[Double, Beta]

Attributes

Source:
Beta.scala
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Supertypes
class Object
trait Matchable
class Any
class Binomial extends OnlineBivariateProbabilityDistributionEstimator[Long, Binomial]

Attributes

Source:
Binomial.scala
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Supertypes
class Object
trait Matchable
class Any
class BinomialEstimator(val domain: Domain[Long]) extends OnlineEstimator[Long]

Attributes

Source:
Binomial.scala
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Supertypes
class Object
trait Matchable
class Any
class BoundedMeanEstimator[DOMAIN](val domain: Domain[DOMAIN])(using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN]) extends OnlineEstimator[DOMAIN] with EstimatesBoundedMean[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait EstimatesBoundedMean[DOMAIN]
trait EstimatesRange[DOMAIN]
trait OnlineEstimator[DOMAIN]
class Object
trait Matchable
class Any
trait EstimatesBoundedMean[DOMAIN] extends EstimatesMean with EstimatesRange[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait EstimatesRange[DOMAIN]
class Object
trait Matchable
class Any
Known subtypes
class BoundedMeanEstimator[DOMAIN]
trait EstimatesMean

Attributes

Source:
OnlineEstimator.scala
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
trait EstimatesBoundedMean[DOMAIN]
class BoundedMeanEstimator[DOMAIN]
class MeanEstimator[DOMAIN]
trait EstimatesMeanAndVariance[DOMAIN] extends EstimatesMean

Attributes

Source:
OnlineEstimator.scala
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
trait EstimatesPointStatistics[DOMAIN] extends EstimatesMeanAndVariance[DOMAIN] with EstimatesBoundedMean[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait EstimatesBoundedMean[DOMAIN]
trait EstimatesRange[DOMAIN]
class Object
trait Matchable
class Any
Known subtypes
trait EstimatesRange[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
Graph
Supertypes
class Object
trait Matchable
class Any
Known subtypes
trait EstimatesBoundedMean[DOMAIN]
class BoundedMeanEstimator[DOMAIN]
class RangeEstimator[DOMAIN]
case class FixedBinomial(n: Long) extends OnlineUnivariateProbabilityDistributionEstimator[Long, Binomial]

Attributes

Source:
Binomial.scala
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Supertypes
trait Product
trait Equals
class Object
trait Matchable
class Any
class Gaussian extends OnlineUnivariateProbabilityDistributionEstimator[Double, Gaussian]

Attributes

Source:
Gaussian.scala
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Supertypes
class Object
trait Matchable
class Any
class LogNormal extends OnlineUnivariateProbabilityDistributionEstimator[Double, LogNormal]

Attributes

Source:
LogNormal.scala
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Supertypes
class Object
trait Matchable
class Any
class MeanAndVarianceEstimator[DOMAIN](val domain: Domain[DOMAIN])(using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN]) extends OnlineEstimator[DOMAIN] with EstimatesMeanAndVariance[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait OnlineEstimator[DOMAIN]
class Object
trait Matchable
class Any
class MeanEstimator[DOMAIN](val domain: Domain[DOMAIN])(using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN]) extends OnlineEstimator[DOMAIN] with EstimatesMean

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait OnlineEstimator[DOMAIN]
class Object
trait Matchable
class Any
trait OnlineBivariateProbabilityDistributionEstimator[DOMAIN, PPD <: ParametricProbabilityDistribution[DOMAIN]](using `#`: Numeric[DOMAIN]) extends OnlineProbabilityDistributionEstimator[DOMAIN, PPD]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
class Binomial
trait OnlineEstimator[DOMAIN](using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN])

Attributes

Source:
OnlineEstimator.scala
Graph
Supertypes
class Object
trait Matchable
class Any
Known subtypes
class BoundedMeanEstimator[DOMAIN]
class MeanEstimator[DOMAIN]
class RangeEstimator[DOMAIN]
trait OnlineProbabilityDistributionEstimator[DOMAIN, PPD <: ParametricProbabilityDistribution[DOMAIN]](using `#`: Numeric[DOMAIN])

Attributes

Source:
OnlineEstimator.scala
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
class Binomial
class Beta
class Gaussian
class LogNormal
class PERT
class Poisson
trait OnlineUnivariateProbabilityDistributionEstimator[DOMAIN, PPD <: ParametricProbabilityDistribution[DOMAIN]](using `#`: Numeric[DOMAIN]) extends OnlineProbabilityDistributionEstimator[DOMAIN, PPD]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
class Beta
class Gaussian
class LogNormal
class PERT
class Poisson
object PERT

Attributes

Companion:
class
Source:
PERT.scala
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
PERT.type
class PERT extends OnlineUnivariateProbabilityDistributionEstimator[Double, PERT]

As a special case of the Beta distribution, PERT only has utility in applications with unknowable σ². In such situations, PERT approximates σ² with the huristic value: σ² = ((μ - min) * (MAX - μ)) / 7.0. Because stream.Beta can approximate σ² directly, its accuracy always meets or exceeds that of streem.PERT.

As a special case of the Beta distribution, PERT only has utility in applications with unknowable σ². In such situations, PERT approximates σ² with the huristic value: σ² = ((μ - min) * (MAX - μ)) / 7.0. Because stream.Beta can approximate σ² directly, its accuracy always meets or exceeds that of streem.PERT.

One should always prefer stream.Beta, but if you insist on using stream.PERT, the UseBetaDistributionInstead exception generated by its constructor contains a reference to a functioning instance of stream.PERT: val onlinePERT = try { new ai.dragonfly.math.stats.probability.distributions.stream.PERT } catch { /* I understand the superiority of stream.Beta over stream.PERT, but I have reasons! */ case ai.dragonfly.math.stats.probability.distributions.stream.UseBetaDistributionInstead(pert) => pert }

Attributes

Companion:
object
Source:
PERT.scala
Graph
Supertypes
class Object
trait Matchable
class Any
class PointStatisticsEstimator[DOMAIN](val domain: Domain[DOMAIN])(using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN]) extends OnlineEstimator[DOMAIN] with EstimatesPointStatistics[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
Graph
Supertypes
trait EstimatesBoundedMean[DOMAIN]
trait EstimatesRange[DOMAIN]
trait OnlineEstimator[DOMAIN]
class Object
trait Matchable
class Any
class Poisson extends OnlineUnivariateProbabilityDistributionEstimator[Long, Poisson]

Attributes

Source:
Poisson.scala
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Supertypes
class Object
trait Matchable
class Any
case class PoissonDistributionUndefinedForNegativeNumbers(negative: Long) extends Exception

Attributes

Source:
Poisson.scala
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Supertypes
trait Product
trait Equals
class Exception
class Throwable
class Object
trait Matchable
class Any
class RangeEstimator[DOMAIN](val domain: Domain[DOMAIN])(using `#`: Numeric[DOMAIN], tag: ClassTag[DOMAIN]) extends OnlineEstimator[DOMAIN] with EstimatesRange[DOMAIN]

Attributes

Source:
OnlineEstimator.scala
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Supertypes
trait EstimatesRange[DOMAIN]
trait OnlineEstimator[DOMAIN]
class Object
trait Matchable
class Any
class StreamingVectorStats[N <: Int](using x$1: ValueOf[N])

Not thread safe!

Not thread safe!

Attributes

dimension

vector dimension

Source:
StreamingVectorStats.scala
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Supertypes
class Object
trait Matchable
class Any
case class UseBetaDistributionInstead(pert: PERT) extends Exception

Attributes

Source:
PERT.scala
Graph
Supertypes
trait Product
trait Equals
class Exception
class Throwable
class Object
trait Matchable
class Any
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