* Remove bkcharts dependency (328). * Add optional progress bar to various samplers (330). * Refactor package metadata (330). * Refactor CI build, add code quality tests (331). * Add warning when many zero-prior samples are generated (331).
0.10.4
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* Refactor `__all__` imports and docs API build (312). * Fix json export of aggregated adaptive distances (316). * Apply additional flake8 checks on code quality (317). * Assert model input is of type `pyabc.Parameter` (318). * Extend noise notebook to estimated noise parameters (319). * Implement optional pickling for multicore samplers; add MacOS pipeline tests (320).
0.10.3
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* Speed up multivariate normal multiple sampling (299). * Set default value for OMP_NUM_THREADS=1, stops warnings (299). * Base default number of parallel cores on PYABC_NUM_PROCS (309). * Update all notebooks to the latest numpy/scipy (310).
0.10.2
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* Update CI test system: latest Ubuntu, python 3.8, simplify R build (296). * Add weights logging to adaptive distances (295). * Migrate CI tests to GitHub Actions for speed-up, reliability and maintainability (297, 298).
0.10.1
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* Allow separate calibration population sizes, slightly reformulate PopulationStrategy class (278). * Allow specifying initial weights for adaptive distances, then without sampling from the prior (279). * Check PEtab test suite in tests (281).