py310-pymc (python/py-pymc) Updated: 20 hours ago Add to my watchlist

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

Version: 5.18.0 License: Apache-2 GitHub
Reset

522 build(s) found

Page 6 of 6 | Showing build(s) 501 to 522

Builder Build Number Start Time Elapsed Time Watcher Build Status
12 33927 2022-06-21 2:24:44 0:02:27 9029 build successful
10.13 154714 2022-06-21 2:24:18 0:02:00 50590 build successful
10.7 104618 2022-06-21 2:23:37 0:02:06 32007 build successful
10.8 94472 2022-06-21 2:23:27 0:02:52 30059 build successful
10.9 192650 2022-06-21 2:22:59 0:01:46 59278 build successful
10.12 190676 2022-06-21 2:21:51 0:02:05 58505 build successful
10.10 187443 2022-06-21 2:19:35 0:01:57 59586 build successful
11.arm64 59003 2022-06-21 2:16:20 0:00:47 20204 build successful
10.6.x86_64 109692 2022-06-07 19:44:55 0:00:20 31693 failed install-dependencies
10.6 76017 2022-06-07 17:51:26 0:00:31 31720 failed install-dependencies
10.11 184866 2022-06-07 16:27:53 0:10:20 59212 build successful
10.14 129892 2022-06-07 16:25:01 0:07:54 40874 build successful
10.15 102568 2022-06-07 16:21:11 0:05:11 29868 build successful
11 75103 2022-06-07 16:18:55 0:04:28 19764 build successful
10.8 92517 2022-06-07 16:17:35 0:04:13 29570 build successful
10.9 191039 2022-06-07 16:17:11 0:03:12 58787 build successful
12 32398 2022-06-07 16:16:09 0:03:52 8541 build successful
10.13 153388 2022-06-07 16:15:54 0:03:22 50102 build successful
10.12 189292 2022-06-07 16:15:19 0:02:56 58016 build successful
10.10 185921 2022-06-07 16:15:13 0:02:56 59097 build successful
10.7 102498 2022-06-07 16:14:57 0:03:01 31518 build successful
12.arm64 54139 2022-06-07 16:07:37 0:00:57 8533 build successful