v0.12.0

ForneyLab v0.12.0

Diff since v0.11.4

Closed issues:

• Use PDMats.jl to work with positive-definite matrices (#30)
• Cryptic error messages (#27)
• Write a "how to build a node" demo (#29)
• Improve error message for algo contruction on model with dangling edges (#70)
• How to implement boolean operations/factors for binary random variables, or more generally conditional probability tables? (#100)
• Probability density estimation for marginals parameterised with SampleList (#137)
• ERROR: LoadError: KeyError: key nothing not found (#146)
• Error: No applicable marginal update rule for GaussianMeanVariance node with inbound types: Message{GaussianWeightedMeanPrecision}, Message{GaussianMeanVariance} (#194)
• Multiplication of two categorical variables (#197)
• Incorrect outbound message update rules for GaussianMeanVariance (#198)
• Where are parameters stored in ForneyLab.Bernoulli? (#199)
• ForneyLab.step! must be explicitly imported (#200)

Merged pull requests:

• Refactor rule matching (#188) (@ThijsvdLaar)
• Natural parameter distributions (#189) (@ThijsvdLaar)
• Conjugate variational Inference (#192) (@ThijsvdLaar)
• Rename (#193) (@ThijsvdLaar)
• Update citation file (#195) (@ThijsvdLaar)
• Fix gaussian update (#203) (@ThijsvdLaar)
• Improve error messages (#204) (@ThijsvdLaar)
• Update compat (#205) (@ThijsvdLaar)
• Write And node demo (#206) (@ThijsvdLaar)
• Prepare for release 0.12.0 (#208) (@ThijsvdLaar)