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 Theano

Accessing 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

2020h

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.

Last modified on 13th November 2020