API reference


ABC algorithms for likelihood-free Bayesian parameter inference and model selection.


pyABC allows to parallelize the sampling process via various samplers. If you want to also parallelize single model simulations, be careful that both levels of parallelization work together well. In particular, if the environment variable OMP_NUM_THREADS is not set, pyABC sets it to a default of 1. For multi-processed sampling (the default at least on linux systems), the flag PYABC_NUM_PROCS can be used to determine on how many jobs to parallelize the sampling.