v1.2.2

ExponentialFamily v1.2.2

Diff since v1.2.1

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)