* Allow to normalize acceptance rate plots by ESS (346). * Add a list of pyABC references (348). * Update to petabtests 0.0.0a5 (362). * Add stopping criterion for total number of samples (364). * Remove dill dependency, thus fixing a cloudpickle error, and run selected tests also with python 3.7 (367).
0.10.7
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* Move progress usage to attribute level (336). * Add check for whether redis is up already (337). * Add a self-tuned finite-space discrete transition (341).
0.10.6
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* Refactor and modularize ABCSMC inference module (333). * Make fast random choice function robust across dimensions (333).
0.10.5
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* 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).