Data fitting with bayesian uncertainty analysis
Project description
Bumps provides data fitting and Bayesian uncertainty modeling for inverse problems. It has a variety of optimization algorithms available for locating the most like value for function parameters given data, and for exploring the uncertainty around the minimum.
Installation is with the usual python installation command:
python setup.py install
This installs the package for all users of the system. To isolate the package it is useful to install virtualenv and virtualenv-wrapper.
This allows you to say:
mkvirtualenv –system-site-packages bumps python setup.py develop
Once the system is installed, you can verify that it is working with:
bumps doc/examples/peaks/model.py –chisq
Documentation is available at readthedocs
Relaase notes
0.7.5 2014-09-10
Pure python release
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.