* Add create_sqlite_db_id convenience function to create database names. * Temporarily require cffi=1.12.2 for rpy2 on travis (all 185). * Introduce UniformAcceptor and SimpleFunctionAcceptor classes to streamline the traditional acceptance step. * Add AcceptorResult and allow weights in the acceptance step (all 184).
0.9.17
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* Use latest pypi rpy2 version on travis and rtd since now the relevant issues were addressed there (easier build, esp. for users). * Update rtd build to version 2 (all 179). * Render logo text for platform independence. * Prevent stochastic transition test from failing that often. * Remove deprecated pd.convert_objects call in web server. * Allow pandas.Series as summary statistics, by conversion to pandas.DataFrame (all 180).
0.9.16
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* Add AggregatedDistance function, and a basic self-tuned version AdaptiveAggregatedDistance. * Add additional factors to PNormDistance and AggregatedDistance for flexibility. Minor API break: argument w renamed to weights. * In the adaptive_distances and the aggregated_distances notebooks, add examples where some methods can fail. * Add plot_total_sample_numbers plot (all 173).
0.9.15
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* Some extensions of external simulators interface (168). * Add basic plots of summary statistics (165). * Document high-performance infrastructure usage (159). * Self-administrative: Add social preview (158), and link to zenodo (157). * Fix external deprecations (153). * Re-add R related tests (148).
0.9.14
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* Update to rpy2 3.1.0 (major change) (140). * pandas data frames saved in database via pyarrow parquet, no longer msgpack (deprecated), with backward compatibility for old databases (141). * Redis workers no longer stop working when encountering model errors (133). * Minor edits, esp. color, size, axes options to plotting routines.
0.9.13
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* Fix dependency updates (rpy2, sklearn) and travis build. * Add option to limit number of particles for adaptive distance updates. * Rename confidence -> credible intervals and plots (Bayesian context). * Extract from database and plot reference parameter values. * Allow to plot MAP value approximations in credible interval plots. * Add a general interface to external scripts that allow using pyabc in a simple way in particular with other programing languages.