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RPM resource python3-pymc

PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

Found 1 sites for python3-pymc

Found 12 RPM for python3-pymc

PackageSummaryDistributionDownload
python3-pymc-3.5-8.mga9.noarch.htmlPython3 implementation of PyMCMageia Cauldron for aarch64python3-pymc-3.5-8.mga9.noarch.rpm
python3-pymc-3.5-8.mga9.noarch.htmlPython3 implementation of PyMCMageia Cauldron for x86_64python3-pymc-3.5-8.mga9.noarch.rpm
python3-pymc-3.5-8.mga9.noarch.htmlPython3 implementation of PyMCMageia Cauldron for armv7hlpython3-pymc-3.5-8.mga9.noarch.rpm
python3-pymc-3.5-8.mga9.noarch.htmlPython3 implementation of PyMCMageia Cauldron for i586python3-pymc-3.5-8.mga9.noarch.rpm
python3-pymc-3.5-7.mga8.noarch.htmlPython3 implementation of PyMCMageia 8 for aarch64python3-pymc-3.5-7.mga8.noarch.rpm
python3-pymc-3.5-7.mga8.noarch.htmlPython3 implementation of PyMCMageia 8 for x86_64python3-pymc-3.5-7.mga8.noarch.rpm
python3-pymc-3.5-7.mga8.noarch.htmlPython3 implementation of PyMCMageia 8 for armv7hlpython3-pymc-3.5-7.mga8.noarch.rpm
python3-pymc-3.5-7.mga8.noarch.htmlPython3 implementation of PyMCMageia 8 for i586python3-pymc-3.5-7.mga8.noarch.rpm
python3-pymc-3.5-5.mga7.aarch64.htmlPython3 implementation of PyMCMageia 7 for aarch64python3-pymc-3.5-5.mga7.aarch64.rpm
python3-pymc-3.5-5.mga7.armv7hl.htmlPython3 implementation of PyMCMageia 7 for armv7hlpython3-pymc-3.5-5.mga7.armv7hl.rpm
python3-pymc-3.5-5.mga7.i586.htmlPython3 implementation of PyMCMageia 7 for i586python3-pymc-3.5-5.mga7.i586.rpm
python3-pymc-3.5-5.mga7.x86_64.htmlPython3 implementation of PyMCMageia 7 for x86_64python3-pymc-3.5-5.mga7.x86_64.rpm

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Fabrice Bellet