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pkgsrc/math/libshorttext/distinfo

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Add SHA512 digests for distfiles for math category Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2015-11-04 00:33:26 +01:00
$NetBSD: distinfo,v 1.2 2015/11/03 23:33:36 agc Exp $
LibShortText is an open source tool for short-text classification and 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.
2014-10-29 18:06:40 +01:00
SHA1 (libshorttext-1.1.tar.gz) = 2d9705195682fa1f25de30bd66711685f974a8c0
RMD160 (libshorttext-1.1.tar.gz) = 569d2f2a64f8fc311766b08cbef7086e1340ce55
Add SHA512 digests for distfiles for math category Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2015-11-04 00:33:26 +01:00
SHA512 (libshorttext-1.1.tar.gz) = d0a4d633f06402e7ebc56b166de24d4b9a0d61c103f7bcef9b7bc3ea1d1e263326b1944ae94a71f8a723cb6fecc23087a2daa81d2d922f3780748249c07a43d3
LibShortText is an open source tool for short-text classification and 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.
2014-10-29 18:06:40 +01:00
Size (libshorttext-1.1.tar.gz) = 817775 bytes
SHA1 (patch-text-train.py) = 6b99bdfcfd69a9d7e83cafc852202dc23485dfeb
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