Quantile Parametrization for probability distribution functions module
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
docs documenting the new demo of ensembles Mar 25, 2018
qp removed stacking from qp Dec 28, 2017
tests adaptive grid to initialize quantile optimization Aug 13, 2017
.attic.py Removed spare code to the .attic, noted bug in quantiles. Nov 18, 2016
.gitignore Worked through initial notebook, added markdown cells, noted problems Mar 28, 2017
.travis.yml took out nosetests because passing that test now requires more time t… Aug 15, 2017
Dockerfile Added Dockerfile for use with docker. Apr 4, 2017
LICENSE
README.md
requirements.txt removed unnecessary requirements Aug 23, 2017
setup.py fixing bug Nov 12, 2017

README.md

qp

Quantile parametrization for probability distribution functions.

Build StatusDocumentation Status

Motivation

This repository exists for two reasons.

  1. To be the home of qp, a python package for handling probability distributions using various parametrizations, including a set of quantiles;
  2. To help us learn best practices in software carpentry.

Examples

You can run the qp IPython notebooks live over the web at Binder:

Binder

To make sure you are running the latest version, you can rebuild the Binder qp installation here.

You can also browse the (un-executed) notebooks here in this repo:

Also: Read the Docs

People

License, Contributing etc

The code in this repo is available for re-use under the MIT license, which means that you can do whatever you like with it, just don't blame us. If you end up using any of the code or ideas you find here in your academic research, please cite us as Malz et al, in preparation\footnote{\texttt{https://github.com/aimalz/qp}}. If you are interested in this project, please do drop us a line via the hyperlinked contact names above, or by writing us an issue. To get started contributing to the qp project, just fork the repo - pull requests are always welcome!