Bayespy

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* Gaussian mixture 2D plotting improvements

* Covariance matrix sampling improvements

* Minor documentation fixes

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* Add gradient-based optimization methods (Riemannian/natural gradient or normal)

* Add collapsed inference

* Add the pattern search method

* Add deterministic annealing

* Add stochastic variational inference

* Add optional input signals to Gaussian Markov chains

* Add unit tests for plotting functions (by Hannu Hartikainen)

* Add printing support to nodes

* Drop Python 3.2 support

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* Fix matplotlib compatibility broken by recent changes in matplotlib

* Add random sampling for Binomial and Bernoulli nodes

* Fix minor bugs, for instance, in plot module

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* Fix normalization of categorical Markov chain probabilities (fixes HMM demo)

* Fix initialization from parameter values

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* Add workaround for matplotlib 1.4.0 bug related to interactive mode which
affected monitoring

* Fix bugs in Hinton diagrams for Gaussian variables

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* Added all remaining common distributions: Bernoulli, binomial, multinomial,
Poisson, beta, exponential.

* Added Gaussian arrays (not just scalars or vectors).

* Added Gaussian Markov chains with time-varying or swithing dynamics.

* Added discrete Markov chains (enabling hidden Markov models).

* Added joint Gaussian-Wishart and Gaussian-gamma nodes.

* Added deterministic gating node.

* Added deterministic general sum-product node.

* Added parameter expansion for Gaussian arrays and time-varying/switching
Gaussian Markov chains.

* Added new plotting functions: pdf, Hinton diagram.

* Added monitoring of posterior distributions during iteration.

* Finished documentation and added API.