Metadata-Version: 2.1
Name: bayesim
Version: 0.9.16
Summary: Fast model fitting via Bayesian inference
Home-page: UNKNOWN
Author: Rachel Kurchin, Giuseppe Romano
Author-email: rkurchin@mit.edu, romanog@mit.edu
License: GPLv2
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: joblib
Requires-Dist: tables

Description
===========
The little home on the internet for our adaptive grid sampled Bayesian inference code. Check it out if you want to compute probability distributions over ~1-10 input parameters to a relatively computationally expensive (10's of core-seconds per evaluation) model.

More detailed documentation `here <https://pv-lab.github.io/bayesim/_build/html/index.html>`_.


Installation and Usage
======================
Install using

.. code-block:: shell

  pip install bayesim -r https://raw.githubusercontent.com/PV-Lab/bayesim/master/requirements.txt

The extra flag is to make sure you get the right version of deepdish.

Information
===========
:Authors:
    Rachel C. Kurchin and Giuseppe Romano

:Version: 0.9.15 as of May 2019


