PyMC3 3.11.1-foss-2020bProbabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Accessing PyMC3 3.11.1-foss-2020b
To load the module for PyMC3 3.11.1-foss-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load PyMC3/3.11.1-foss-2020b
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- arviz 0.11.1
- fastprogress 1.0.0
- patsy 0.5.1
- pymc3 3.11.1
- typing_extensions 18.104.22.168
For more information visit the PyMC3 website.
This version of PyMC3 has a direct dependency on: dill/0.3.3-GCCcore-10.2.0 foss/2020b h5py/3.1.0-foss-2020b matplotlib/3.3.3-foss-2020b netcdf4-python/22.214.171.124-foss-2020b Python/3.8.6-GCCcore-10.2.0 SciPy-bundle/2020.11-foss-2020b Theano/1.1.2-foss-2020b-PyMC tqdm/4.56.2-GCCcore-10.2.0 xarray/0.16.2-foss-2020b
This version of PyMC3 is a direct dependent of: cell2location/0.05-alpha-foss-2020b
|Version||BEAR Apps Version|
Last modified on 21st May 2021