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regressis (regression of spectroscopic and imaging systematics) is a package to regress variations of target/galaxy density against a set of templates accounting for observational conditions.

License: Other

Python 2.53% Jupyter Notebook 97.47%

regressis's Introduction

Regressis

regressis (regression of spectroscopic and imaging systematics) is a package to regress variations of target/galaxy density against a set of templates accounting for observational conditions.

Requirements

Strict requirements are:

  • scikit-learn (and dependencies)
  • fitsio
  • healpy
  • astropy

Documentations

Documentation is hosted on Read the Docs, regressis docs.

Installation

pip

Simply run:

python -m pip install git+https://github.com/echaussidon/regressis

git

First (if you do not use a ssh-key):

git clone https://github.com/echaussidon/regressis.git

Or (if you use a ssh-key):

git clone [email protected]:echaussidon/regressis.git

To install the code:

python setup.py install --user

Or in development mode (any change to Python code will take place immediately):

python setup.py develop --user

test

Check the installation using the test file. No errors should appear.

python regressis/tests/tests.py

License

regressis is free software distributed under a BSD3 license. For details see the LICENSE.

regressis's People

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