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<title>pkgsrc/math/libshorttext/Makefile, branch trunk</title>
<subtitle>[no description]</subtitle>
<id>https://git.osdyson.ru/mirror/pkgsrc/atom?h=trunk</id>
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<updated>2022-06-30T11:18:01Z</updated>
<entry>
<title>*: Revbump packages that use Python at runtime without a PKGNAME prefix</title>
<updated>2022-06-30T11:18:01Z</updated>
<author>
<name>nia</name>
<email>nia@pkgsrc.org</email>
</author>
<published>2022-06-30T11:18:01Z</published>
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<id>urn:sha1:c8c52b1eaa9f02980199a8b4bc92344ac344e087</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Revbump packages with a runtime Python dep but no version prefix.</title>
<updated>2020-12-04T20:44:57Z</updated>
<author>
<name>nia</name>
<email>nia@pkgsrc.org</email>
</author>
<published>2020-12-04T20:44:57Z</published>
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<id>urn:sha1:77345cbaf77c9e43b7a467af6bdf4c29b1a41dd8</id>
<content type='text'>
For the Python 3.8 default switch.</content>
</entry>
<entry>
<title>math: align variable assignments</title>
<updated>2019-11-02T16:16:18Z</updated>
<author>
<name>rillig</name>
<email>rillig@pkgsrc.org</email>
</author>
<published>2019-11-02T16:16:18Z</published>
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<id>urn:sha1:acea7f0682b89f8d0999e81a81341dfe21db49fc</id>
<content type='text'>
pkglint -Wall -F --only aligned -r

Manual correction in R/Makefile.extension for the MASTER_SITES
continuation line.</content>
</entry>
<entry>
<title>PKGREVISION bump for anything using python without a PYPKGPREFIX.</title>
<updated>2019-04-25T07:32:34Z</updated>
<author>
<name>maya</name>
<email>maya@pkgsrc.org</email>
</author>
<published>2019-04-25T07:32:34Z</published>
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<id>urn:sha1:3d4f4b52d921d81c07e9bd63bfeafa757f969cc0</id>
<content type='text'>
This is a semi-manual PKGREVISION bump.</content>
</entry>
<entry>
<title>libshorttext: follow redirects</title>
<updated>2017-11-15T22:13:24Z</updated>
<author>
<name>wiz</name>
<email>wiz@pkgsrc.org</email>
</author>
<published>2017-11-15T22:13:24Z</published>
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<id>urn:sha1:750559799391294a1bd8809c83513a97734b5876</id>
<content type='text'>
</content>
</entry>
<entry>
<title>LibShortText is an open source tool for short-text classification and</title>
<updated>2014-10-29T17:06:40Z</updated>
<author>
<name>cheusov</name>
<email>cheusov@pkgsrc.org</email>
</author>
<published>2014-10-29T17:06:40Z</published>
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<id>urn:sha1:7d3a4376cb48055b7edbf40cf09fd39c287d9665</id>
<content type='text'>
analysis. It can handle the classification of, for example, titles,
questions, sentences, and short messages. Main features of
LibShortText include
  * It is more efficient than general text-mining packages. On a
    typical computer, processing and training 10 million short texts
    takes only around half an hour.
  * The fast training and testing is built upon the linear classifier
  * LIBLINEAR
  * Default options often work well without tedious tuning.
  * An interactive tool for error analysis is included. Based on the
    property that each short text contains few words, LibShortText
    provides details in predicting each text.</content>
</entry>
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