PyMC3 3.8-foss-2019b-Python-3.7.4
There is a newer version of PyMC3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with TheanoAccessing PyMC3 3.8-foss-2019b-Python-3.7.4
To load the module for PyMC3 3.8-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load PyMC3/3.8-foss-2019b-Python-3.7.4
BEAR Apps Version
Extensions
- arviz 0.7.0
- patsy 0.5.1
- pymc3 3.8
- xarray 0.15.1
More Information
For more information visit the PyMC3 website.
Dependencies
This version of PyMC3 has a direct dependency on: foss/2019b h5py/2.10.0-foss-2019b-Python-3.7.4 matplotlib/3.1.1-foss-2019b-Python-3.7.4 netcdf4-python/1.5.3-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 Theano/1.0.4-foss-2019b-Python-3.7.4 tqdm/4.41.1-GCCcore-8.3.0
Required By
This version of PyMC3 is a direct dependent of: refnx/0.1.17-foss-2019b-Python-3.7.4
Other Versions
These versions of PyMC3 are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Version | BEAR Apps Version |
---|---|
3.11.1-fosscuda-2020b | 2020b |
3.11.1-foss-2021b | 2021b |
3.11.1-foss-2020b | 2020b |
3.8-foss-2020a-Python-3.8.2 | 2020a |
Last modified on 13th November 2020