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<title>ports/science/py-scikit-learn/pkg-descr, branch main</title>
<subtitle>FreeBSD ports tree</subtitle>
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<entry>
<title>Remove WWW entries moved into port Makefiles</title>
<updated>2022-09-07T21:58:51+00:00</updated>
<author>
<name>Stefan Eßer</name>
<email>se@FreeBSD.org</email>
</author>
<published>2022-09-07T21:30:14+00:00</published>
<link rel='alternate' type='text/html' href='http://cgit.freebsd.org/ports/commit/?id=fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4'/>
<id>fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4</id>
<content type='text'>
Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.

This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.

Approved by:		portmgr (tcberner)
</content>
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<pre>
Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.

This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.

Approved by:		portmgr (tcberner)
</pre>
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</content>
</entry>
<entry>
<title>- Update WWW</title>
<updated>2020-06-17T09:35:01+00:00</updated>
<author>
<name>Dmitry Marakasov</name>
<email>amdmi3@FreeBSD.org</email>
</author>
<published>2020-06-17T09:35:01+00:00</published>
<link rel='alternate' type='text/html' href='http://cgit.freebsd.org/ports/commit/?id=92871ce39e608299017ff048a7e5a83b03ca721d'/>
<id>92871ce39e608299017ff048a7e5a83b03ca721d</id>
<content type='text'>
Approved by:	portmgr blanket
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<pre>
Approved by:	portmgr blanket
</pre>
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</entry>
<entry>
<title>scikit-learn is a Python module integrating classic machine learning</title>
<updated>2012-10-19T12:24:00+00:00</updated>
<author>
<name>Dmitry Sivachenko</name>
<email>demon@FreeBSD.org</email>
</author>
<published>2012-10-19T12:24:00+00:00</published>
<link rel='alternate' type='text/html' href='http://cgit.freebsd.org/ports/commit/?id=46c2c1f3443f4d3bd49059e997edf978723a2414'/>
<id>46c2c1f3443f4d3bd49059e997edf978723a2414</id>
<content type='text'>
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib).  It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.

WWW: http://scikit-learn.org/

Feature safe:	yes
</content>
<content type='xhtml'>
<div xmlns='http://www.w3.org/1999/xhtml'>
<pre>
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib).  It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.

WWW: http://scikit-learn.org/

Feature safe:	yes
</pre>
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</content>
</entry>
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