Pyabc

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* Exact inference via stochastic acceptor finalized and tested (developed
throughout the 0.9 series).
* Support basic PEtab functionality using AMICI ODE simulations (268).
* Various error fixes (265, 267).
* Log number of processes used by multiprocessing samplers (263).
* Implement pyabc.acceptor.ScaledPDFNorm (269).
* Implement list population size (274, 276).
* On history loading, automatically find an id of a successful run (273).

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* Add optional check whether database is non-existent, to detect typos.
* Set lower bound in 1-dim KDEs to <= 0 to not wrongly display near-uniform
distributions. (both 257)
* Implement redis password protection for sampler and manage routine (256).
* Make samplers available in global namespace (249).
* Implement ListTemperature (248).
* Allow plotting the relative ESS (245).
* Allow resampling of weighted particles (244).
* Fix ABCSMC.load with rpy2 (242).

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* Add summary statistics callback plot function (231).
* Add possibility to log employed norms in StochasticAcceptor (231) and
temperature proposals in Temperature (232).
* Implement optional early stopping in the MulticoreEvalParallelSampler and
the SingleCoreSampler, when a maximum simulation number is exceeded
(default behavior untouched).
* Log stopping reason in ABCSMC.run (all 236).
* Implement Poisson (237) and negative binomial (239) stochastic kernels.
* Enable password protection for Redis sampler (238).
* Fix scipy deprecations (234, 241).

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* In ABCSMC.run, allow a default infinite number of iterations, and log the
ESS in each iteration.
* Reformulate exponential temperature decay, allowing for a fixed number of
iterations or fixed ratios.
* Solve acceptance rate temperature match in log space for numeric stability.
* Perform temperation of likelihood ratio in log space for numeric stability
(all 221).
* Fix wrong maximum density value in binomial kernel.
* Allow not fixing the final temperature to 1 (all 223).
* Allow passing id to history directly (225).
* Pass additional arguments to Acceptor.update.
* Give optional min_rate argument to AcceptanceRateScheme (all 226).
* In plot functions, add parameter specifying the reference value color (227).

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* Fix extras_require directive.
* Fix error with histogram plot arguments.
* Extend test coverage for visualization (all 215).
* ABCSMC.{new,load,run} all return the history with set id for convenience.
* Document pickling paradigm of ABCSMC class (see doc/sampler.rst).
* Always use lazy evaluation in updates (all 216).
* Restructure run function of ABCSMC class (216, 218).
* Run notebooks on travis only on pull requests (217).
* Correct weighting in AcceptanceRateScheme (219).

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* Fix error that prevented using rpy2 based summary statistics with non rpy2
based models (213).