Recent Releases of ExponentialFamily
ExponentialFamily - v2.0.7
ExponentialFamily v2.0.7
Merged pull requests: - Remove LV from the package (#236) (@bvdmitri)
- Julia
Published by github-actions[bot] 11 months ago
ExponentialFamily - v2.0.6
ExponentialFamily v2.0.6
Merged pull requests: - make prod faster for categorical (#235) (@wouterwln)
- Julia
Published by github-actions[bot] 12 months ago
ExponentialFamily - v2.0.5
ExponentialFamily v2.0.5
- Julia
Published by github-actions[bot] about 1 year ago
ExponentialFamily - v2.0.4
ExponentialFamily v2.0.4
Merged pull requests: - Bump ForwardDiff version to 1 (#234) (@bvdmitri)
- Julia
Published by github-actions[bot] about 1 year ago
ExponentialFamily - v2.0.3
ExponentialFamily v2.0.3
Merged pull requests: - add clamplog mean to dirichletcollection (#233) (@wouterwln)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v2.0.2
ExponentialFamily v2.0.2
Merged pull requests: - Promote array types for DirichletCollection (#232) (@wouterwln)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v2.0.1
ExponentialFamily v2.0.1
Merged pull requests: - Update version to 2.0.1 (#231) (@bvdmitri)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v2.0.0
ExponentialFamily v2.0.0
Breaking changes
MatrixDirichletrenamed toDirichletCollectionMvNormalMeanScalePrecisionis now part ofGaussianFamily
Merged pull requests:
- Add scale precision to gaussian family (#218) (@bvdmitri)
- Replace MatrixDirichlet and TensorDirichlet with DirichletCollection (#229) (@wouterwln)
Closed issues:
- Implement TensorDirichlet (#212)
- Implement tests for TensorDirichlet (#214)
- Replace MatrixDirichlet with TensorDirichlet (#227)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.7.1
ExponentialFamily v1.7.1
Merged pull requests: - Implement log mean for tensordirichlet (#226) (@wouterwln)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.7.0
ExponentialFamily v1.7.0
Merged pull requests:
- Add gradient of Normal Wishart (#173) (@ismailsenoz)
- Fix bug on isproperof MatrixDirichlet (#215) (@Raphael-Tresor)
- Fix add wishart wishartfast prod (#217) (@Nimrais)
- Dirichlet tensor (#219) (@Raphael-Tresor)
- docs: add citation file (#220) (@Nimrais)
- Update benchmark infrastructure to allow judge (#221) (@wouterwln)
- Dirichlet tensor performance (#222) (@wouterwln)
- Vector with NaN is improper Dirichlet in natural parameters (#223) (@wouterwln)
- Reimplement entropy for TensorDirichlet (#224) (@wouterwln)
- Bump version to 1.7.0 (#225) (@wouterwln)
Closed issues:
- prod between Wishart and WishartFast is not defined (#192)
- What would be a good way to implement diagonal Normal distribution? (#201)
- Fix Bugs on isproper of MatrixDirichlet (#213)
- ProductOf{InverseWishart{Float64, PDMats.PDMat{Float64, Matrix{Float64}}}, ExponentialFamily.InverseWishartFast{Float64, Matrix{Float64}}} does not exist or is not dispatched correctly. (#216)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.6.0
ExponentialFamily v1.6.0
Merged pull requests: - Add MvNormalMeanScalePrecision distribution (#206) (@albertpod)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.5.3
ExponentialFamily v1.5.3
Merged pull requests: - fix-rand-matrixDirichlet (#211) (@Raphael-Tresor)
Closed issues:
- Broken rand for MatrixDirichlet with wide parameter matrix (#210)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.5.2
ExponentialFamily v1.5.2
Merged pull requests:
- Fix format in repo (#204) (@albertpod)
- Add support for Diagonal covariance matrices (#208) (@bartvanerp)
Closed issues: - Failing product of normals with diagonal covariance matrices (#207)
- Julia
Published by github-actions[bot] over 1 year ago
ExponentialFamily - v1.5.1
ExponentialFamily v1.5.1
Merged pull requests: - Change _plogpdf function to accept four arguments (#199) (@ismailsenoz) - Partitioned categorical support (#203) (@Nimrais)
Closed issues: - Conversion Error with Categorical Distribution in ExponentialFamily.jl (#202)
- Julia
Published by github-actions[bot] almost 2 years ago
ExponentialFamily - v1.5.0
ExponentialFamily v1.5.0
Merged pull requests: - feat: logbasemeasure (#200) (@Nimrais)
- Julia
Published by github-actions[bot] almost 2 years ago
ExponentialFamily - v1.4.4
ExponentialFamily v1.4.4
Merged pull requests: - Fix isproper function for Normal-Gamma distribution (#198) (@ismailsenoz)
- Julia
Published by github-actions[bot] almost 2 years ago
ExponentialFamily - v1.4.3
ExponentialFamily v1.4.3
Merged pull requests: - Fix Chisq isproper (#197) (@Nimrais)
Closed issues: - What is the correct support for parameters of Chisq? (#195)
- Julia
Published by github-actions[bot] about 2 years ago
ExponentialFamily - v1.4.2
ExponentialFamily v1.4.2
Merged pull requests: - fix: relax integer constraint on the mean parameter of Chisq distribution (#189) (@ismailsenoz) - Add JET reports (#196) (@bvdmitri)
Closed issues:
- The isproper check for multivariate Gaussian is not ideal (#194)
- Julia
Published by github-actions[bot] about 2 years ago
ExponentialFamily - v1.4.1
ExponentialFamily v1.4.1
Merged pull requests: - Fix VonMises inplace prod and tests (#190) (@ismailsenoz)
- Julia
Published by github-actions[bot] over 2 years ago
ExponentialFamily - v1.3.0
ExponentialFamily v1.3.0
Merged pull requests: - Use Julia 1.10 for tests (#177) (@bvdmitri)
- Julia
Published by github-actions[bot] over 2 years ago
ExponentialFamily - v1.2.2
ExponentialFamily v1.2.2
Merged pull requests: - Faster logpdf implementation for container based inputs (#147) (@Nimrais) - add getgradlogpartition function for Bernoulli (#150) (@HoangMHNguyen) - add getgradlogpartition function for Poisson (#151) (@HoangMHNguyen) - add getgradlogpartition Exponential (#152) (@HoangMHNguyen) - Add gradient of binomial (#153) (@ismailsenoz) - Add gradient of beta (#154) (@ismailsenoz) - Add gradient calculation for log partition (#157) (@bartvanerp) - Add gradient of Wishart (#158) (@ismailsenoz) - Add gradient for inverse wishart (#159) (@ismailsenoz) - Add gradient of Weibull (#160) (@ismailsenoz) - Gradient of vmf (#161) (@ismailsenoz) - Add gradient of Rayleigh (#162) (@ismailsenoz) - Add gradient Pareto (#163) (@ismailsenoz) - Add gradient normal gamma (#164) (@ismailsenoz) - Add gradient of negative binomial (#165) (@ismailsenoz) - Add gradient of matrix Dirichlet (#166) (@ismailsenoz) - Add gradient of log Normal (#167) (@ismailsenoz) - Add gradient for categorical (#170) (@ismailsenoz) - Add gradient inverse gamma (#171) (@ismailsenoz) - Add gradient for Laplace (#172) (@ismailsenoz) - Update README.md (#174) (@bartvanerp)
Closed issues:
- The logpdf from ExponentialFamily.jl is slower then from Distributions.jl (#146)
- Julia
Published by github-actions[bot] over 2 years ago
ExponentialFamily - v1.2.1
ExponentialFamily v1.2.1
Merged pull requests: - Update the definition of logpdf_optimized for Gaussians (#143) (@bvdmitri) - Relax compat constraints (#144) (@bvdmitri)
- Julia
Published by github-actions[bot] over 2 years ago
ExponentialFamily - v1.2.0
ExponentialFamily v1.2.0
Merged pull requests: - Add README.md (#3) (@albertpod) - Add Erlang distribution (#14) (@albertpod) - Update CI & toml (#15) (@albertpod) - Exponential distribution (#16) (@wouterwln) - CompatHelper: add new compat entry for StaticArrays at version 1, (keep existing compat) (#26) (@github-actions[bot]) - Fix normal tests (#27) (@ismailsenoz) - Add formatter (#28) (@albertpod) - added ef extensions for beta and tests (#29) (@ismailsenoz) - Categorical ef extensions (#30) (@ismailsenoz) - incorporate fix for ForwardDiff hessian error. (#33) (@ismailsenoz) - Contingency ef extensions (#34) (@ismailsenoz) - Simplify the interface for natural parameters (#36) (@ismailsenoz) - Dev Von Mises (#37) (@ismailsenoz) - add von mises fisher distribution (#38) (@ismailsenoz) - Multinomial distribution (#39) (@HoangMHNguyen) - Geometric distribution (#40) (@HoangMHNguyen) - CompatHelper: add new compat entry for JuliaFormatter at version 1, (keep existing compat) (#41) (@github-actions[bot]) - add check for number of trials (#43) (@HoangMHNguyen) - Add conditioner field to natural parameters structure and tests (#44) (@ismailsenoz) - fix: Gamma and \approx (#45) (@Nimrais) - fix: convert into one dist type (#46) (@Nimrais) - Fix wishart conversions (#47) (@Nimrais) - Add Pareto distribution (#48) (@Chengfeng-Jia) - Generic plus (#49) (@ismailsenoz) - docs: add general lognormalizer doc string (#50) (@Nimrais) - Continuous bernoulli (#51) (@ismailsenoz) - Binomial distribution (#53) (@albertpod) - add Rayleigh and tests (#56) (@ismailsenoz) - Fix exponential, clean binomial (#58) (@albertpod) - Weibull (#59) (@Nimrais) - Dev generic operations (#60) (@ismailsenoz) - LogNormal distribution added. The Natural parameters are calculated f… (#61) (@Sepideh-Adamiat) - Dev negative binomial (#62) (@ismailsenoz) - add Laplace distribution and tests (#64) (@ismailsenoz) - Fix negative binomial (#65) (@albertpod) - add chi squared distribution and tests (#66) (@ismailsenoz) - Add Poisson distribution extension (#67) (@albertpod) - Fix prod for Binomial Distributions (#68) (@albertpod) - Remove sample friendly (#69) (@ismailsenoz) - Test alignment (#71) (@albertpod) - Dev normal wishart (#72) (@ismailsenoz) - Add Normal-Gamma distribution (#73) (@albertpod) - Gammafix (#74) (@ismailsenoz) - Update tests, README (#75) (@albertpod) - Add Fisher Information for Poisson distribution (#76) (@albertpod) - fisherinformation Gamma (#77) (@Nimrais) - fisherinformation Chisq (#78) (@Nimrais) - Fisher information for normal gamma (#79) (@Nimrais) - Add fisher information for exponential distribution (#80) (@albertpod) - Fisher Rayleigh (#82) (@albertpod) - Add Fisher information Weibull distribution (#83) (@albertpod) - add fisher information and tests for pareto distribution (#84) (@ismailsenoz) - Fisher negative binomial (#85) (@Nimrais) - Fix normal gamma tests (#87) (@albertpod) - Fix isproper (#88) (@Nimrais) - add fisher information for laplace and test (#89) (@ismailsenoz) - fix Multinomial (#91) (@HoangMHNguyen) - fix lognormal parameterization and add fisher information (#92) (@ismailsenoz) - Fix categorical and contingency parameterisations (#93) (@HoangMHNguyen) - Fisher information for Von Mises (#95) (@ismailsenoz) - Fisher binomial (#96) (@ismailsenoz) - feat: implement Fisher information for Univariate Normal (#97) (@Nimrais) - Add Fisher for Geometric distribution (#98) (@albertpod) - Add Fisher information for Multinomial distribution (#99) (@albertpod) - Fix format throughout test and src folders (#100) (@albertpod) - Fisher information for Erlang distribution (#101) (@ismailsenoz) - Add reconstruct function (#102) (@albertpod) - Fisher vmf (#103) (@ismailsenoz) - Add Fisher to Categorical (#104) (@HoangMHNguyen) - add fisher information for continuous Bernoulli (#105) (@ismailsenoz) - Fisher Wishart (#106) (@albertpod) - Add Fisher information for Multivariate Normal (#107) (@Nimrais) - Fix format and tests (#108) (@albertpod) - feat: fisher information InverseWishart (#109) (@Nimrais) - Revise prod (#110) (@ismailsenoz) - Sufficient statistics, logpdf, pdf and duplications (#113) (@ismailsenoz) - Generic prod tests (#115) (@ismailsenoz) - feat: add mean for KnownExponentialFamilyDistribution Bernoulli (#116) (@Nimrais) - feat: add mean, cov methods for EF, fix: conversion for normal-gamma and wishart (#117) (@ismailsenoz) - fix: resolve ambiguity (nothing case) (#118) (@Nimrais) - Fisher information for Dirichlet (#119) (@ismailsenoz) - Matrix Dirichlet Fisher information (#120) (@ismailsenoz) - Fix wishart conversion (#124) (@ismailsenoz) - Update README.md (#125) (@albertpod) - Change ef structure (#127) (@ismailsenoz) - Add documentation to the package (#128) (@albertpod) - Fix docs (#129) (@albertpod) - Major refactoring (#133) (@bvdmitri) - Parallel tests + VSCode integration (#135) (@bvdmitri) - Add Aqua to tests (#136) (@bvdmitri) - Update README.md with href to mit license (#139) (@bartvanerp) - Diffrentiabilty of ExponentialFamily(ExponentialFamily.MvNormalMeanCovariance) logpdf (#140) (@Nimrais) - InverseGamma Fisher (#141) (@Nimrais) - Integrate BayesBase.jl (#142) (@bvdmitri)
Closed issues: - List of exponential family distributions that should be added (#1) - Some distributions do not have the required exponential family methods (#2) - Bernoulli log normalizer appears to be incorrect (#31) - The interface for natural parameters is over-complicated (#32) - Fisher information matrix (#35) - Missing check for the number of trial in prod(), Base.+ and Base.- (#42) - Inconsistency in methods arrangement and input variable names (#54) - Categorical and contingency parameterizations (#55) - Normal-Gamma sampling is not stable (#81) - Issue with isproper for Negative Binomial (#86) - Incorrect product of Multinomial (#90) - Improve prod function and add comprehensive tests (#94) - Sufficients statistics and conversions in the pdfs (#111) - Logpdf out-of-support Traits (#114) - Tests needs to be revised (#121) - Generic conversion causes stackoverflow (#122) - Conversion 'WishartImproper' to 'Distribution' is incorrect (#123) - Add comprehensive documentation (#126) - Pareto (#131) - TagBot trigger issue (#138)
- Julia
Published by github-actions[bot] over 2 years ago