vector
0.1
vector
API
ai.dragonfly.math
Bijection
given_Conversion_A_B
given_Conversion_B_A
Constant
ExtraDimensionalAccessException
Factorial
Gamma
InvalidArgumentToGammaFunction
Random
UnsupportedVectorDimension
VectorNormalizationException
ai.dragonfly.math.geometry
Line
Tetrahedron
Tetrahedron
ai.dragonfly.math.interval
Domain
Overflows
given_Overflows_Any_BigDecimal
given_Overflows_Any_BigInt
given_Overflows_Byte_|
given_Overflows_Double_Byte
given_Overflows_Double_Double
given_Overflows_Double_Float
given_Overflows_Double_Int
given_Overflows_Double_Long
given_Overflows_Double_Short
given_Overflows_Float_Byte
given_Overflows_Float_Double
given_Overflows_Float_Float
given_Overflows_Float_Int
given_Overflows_Float_Long
given_Overflows_Float_Short
given_Overflows_Int_Byte
given_Overflows_Int_Double
given_Overflows_Int_Float
given_Overflows_Int_Int
given_Overflows_Int_Long
given_Overflows_Int_Short
given_Overflows_Long_Byte
given_Overflows_Long_Double
given_Overflows_Long_Float
given_Overflows_Long_Int
given_Overflows_Long_Long
given_Overflows_Long_Short
given_Overflows_Short_Byte
given_Overflows_Short_Double
given_Overflows_Short_Float
given_Overflows_Short_Int
given_Overflows_Short_Long
given_Overflows_Short_Short
Domain
Interval
Interval
ai.dragonfly.math.stats
BoundedMean
BoundedMean
ContextualLabeledVector
DenseHistogramOfContinuousDistribution
DenseHistogramOfDiscreteDistribution
LabeledVec
MeanAndVariance
MeanOutsideBounds
PointStatistics
SimpleLabeledVector
UnivariateGenerativeModel
UnivariateGenerativeModel
UnivariateHistogram
ai.dragonfly.math.stats.kernel
DiscreteKernel
DiscreteKernel
EpanechnikovKernel
GaussianKernel
Kernel
UniformKernel
ai.dragonfly.math.stats.probability.distributions
Beta
Beta
Binomial
Binomial
DiscreteUniform
DiscreteUniform
EstimatedBeta
EstimatedBinomial
EstimatedDiscreteUniform
EstimatedGaussian
EstimatedLogNormal
EstimatedPERT
EstimatedPoisson
EstimatedProbabilityDistribution
EstimatedUniform
Gaussian
Gaussian
LogNormal
LogNormal
PERT
PERT
ParametricProbabilityDistribution
Poisson
Poisson
ProbabilityDistribution
Sampleable
Uniform
Uniform
ai.dragonfly.math.stats.probability.distributions.stream
Beta
Binomial
BinomialEstimator
BoundedMeanEstimator
EstimatesBoundedMean
EstimatesMean
EstimatesMeanAndVariance
EstimatesPointStatistics
EstimatesRange
FixedBinomial
Gaussian
LogNormal
MeanAndVarianceEstimator
MeanEstimator
OnlineBivariateProbabilityDistributionEstimator
OnlineEstimator
OnlineProbabilityDistributionEstimator
OnlineUnivariateProbabilityDistributionEstimator
PERT
PERT
PointStatisticsEstimator
Poisson
PoissonDistributionUndefinedForNegativeNumbers
RangeEstimator
StreamingVectorStats
UseBetaDistributionInstead
ai.dragonfly.math.unicode
ai.dragonfly.math.vector
Format
CSV
Default
Indexed
TSV
Format
Vec
Vec2
Vec3
Vec4
VecBounds
WeightedVec
vector
/
ai.dragonfly.math.stats.probability.distributions.stream
/
Binomial
Binomial
ai.dragonfly.math.stats.probability.distributions.stream.Binomial
class
Binomial
extends
OnlineBivariateProbabilityDistributionEstimator
[
Long
,
Binomial
]
Attributes
Source:
Binomial.scala
Graph
Reset zoom
Hide graph
Show graph
Supertypes
trait
OnlineBivariateProbabilityDistributionEstimator
[
Long
,
Binomial
]
trait
OnlineProbabilityDistributionEstimator
[
Long
,
Binomial
]
class
Object
trait
Matchable
class
Any
Clear all
Members list
Concise view
Value members
Concrete methods
def
estimate
:
EstimatedBinomial
Attributes
Source:
Binomial.scala
def
observe
(
experimentCount
:
Long
,
successCount
:
Long
,
trialCount
:
Long
):
Binomial
Attributes
Source:
Binomial.scala
Inherited methods
def
observe
(
observation1
:
Long
,
observation2
:
Long
):
OnlineBivariateProbabilityDistributionEstimator
[
DOMAIN
,
PPD
]
Attributes
Inherited from:
OnlineBivariateProbabilityDistributionEstimator
Source:
OnlineEstimator.scala
Concrete fields
val
estimator
:
BinomialEstimator
Attributes
Source:
Binomial.scala