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Source: astroml
Section: python
Priority: optional
Maintainer: Debian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org>
Uploaders: Ole Streicher <olebole@debian.org>
Build-Depends: debhelper (>= 9),
dh-python,
python3-all,
python3-astropy,
python3-matplotlib,
python3-nose,
python3-numpy,
python3-scipy,
python3-setuptools,
python3-sklearn (>= 0.18~)
Standards-Version: 4.2.1
Homepage: https://www.astroml.org/
Vcs-Git: https://salsa.debian.org/debian-astro-team/astroml.git
Vcs-Browser: https://salsa.debian.org/debian-astro-team/astroml
Package: python3-astroml
Architecture: all
Depends: python3-astropy,
python3-matplotlib,
python3-numpy,
python3-scipy,
python3-sklearn (>= 0.18~),
${misc:Depends},
${python3:Depends}
Recommends: python3-astroml-addons, python3-healpy, python3-pymc
Description: Python 3 Machine Learning library for astronomy
AstroML is a Python 3 module for machine learning and data mining built on
numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of
statistical and machine learning routines for analyzing astronomical data in
Python, loaders for several open astronomical datasets, and a large suite of
examples of analyzing and visualizing astronomical datasets.
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