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Install

Install this package:

emerge -a dev-python/astroml

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/astroml

Or alternatively:

emerge --autounmask-write -a dev-python/astroml

Package Information

Description:

AstroML is a Python 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.

Homepage:

http://www.astroml.org

License:

BSD

Versions

Metadata

Description

• AstroML is a Python 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.

Maintainers

• Gentoo Astronomy Project (sci-astronomy@gentoo.org) - Type: project
• Astro Benzene (universebenzene@sina.com) - Type: person

Upstream

• Remote IDs:
  • pypi: astroML
  • github: astroML/astroML

<pkgmetadata>
	<maintainer type="project">
		<email>sci-astronomy@gentoo.org</email>
		<name>Gentoo Astronomy Project</name>
	</maintainer>
	<maintainer type="person">
		<email>universebenzene@sina.com</email>
		<name>Astro Benzene</name>
	</maintainer>
	<longdescription lang="en">
		AstroML is a Python 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.
	</longdescription>
	<upstream>
		<remote-id type="pypi">astroML</remote-id>
		<remote-id type="github">astroML/astroML</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'examples' in ebuild 1.0.2_p1 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild astroml-1.0.2_p1

USE Flags

Manage flags for this package: euse -i <flag> -p dev-python/astroml | euse -E <flag> -p dev-python/astroml | euse -D <flag> -p dev-python/astroml

Files

• astroml-0.4.1.ebuild
• conftest.py

Manifest