perl-Algorithm-NaiveBayes-0.04-32.fc39 >t 6 6_ 6 J \ `3!92d LuZLd uZLIe9'o=~W6wKИʳ_f{Ihj$mV=d+@HD LʒR>Oƾr[Ft0^_9ks[=It\FԹ}O ׮aا\=3}f:qp.VÐ(U`h2:ąb=:fI%K/Q3kV,RvU"2{=%XTmC" jפ|i*K_pzEKvgAY08b1uEq|5?.B 5WCt^V~cǚ:nc4s;=%dacWǂUFGة_ğ9^M @ϠM1H~W!_Mp>̭<:T>m.Lu9LڙPvN21uޟdL s&+81K*^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3!92d LuZLd uZLF2RSȶS!mq@ow/ƽCb+.,SSnue2W|MSsxl@4 Y˃c'HtoE1ɥg.haORiPLff 3D:`9ߕ (zʣ|a}RAn2FW9VCZ+Qٕ0QWbKjc@xEo87-AGC-8l>p(tYfcVp`hv0+ב]Se#x',x+l)F~MUYHLgfY_㑉aW|u5Z<6ƱW>&4#nx| 3JWBȏ:281!&/X Y2 R=ӑK!Kpb,f'3pqa824*T?p]OϬ>x3RNgz>% _fJ˿(ݓLϩCB5X>`>?d! ) Kx| $*4 `  v           *\ h(89: iG H I , X 8Y P\ h ] ^ )b *deflt uD vpw x( yT"`dCperl-Algorithm-NaiveBayes0.0432.fc39Bayesian prediction of categoriesThis module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results.dbuildvm-a64-18.iad2.fedoraproject.orgQFedora ProjectFedora ProjectGPL+ or ArtisticFedora ProjectUnspecifiedhttps://metacpan.org/release/Algorithm-NaiveBayeslinuxnoarch" "A큤AA큤A큤dyFiRdydydydydydydydydy7ca41878c9be6e5ebe302ae6269853ec97acb69593c90c6d8fa6d2be0f65eb935e3429d61f6c93728005929ad307cb330875777c0589507a1dc288015858f1911fe76c7c18a87ef54f42db756b8babcb8f48a198db7ee2cf18dc9fdf463c0316351cda66d26453c6001bef10713c48858bf26fa2ef4c92c9eb24a07aa51775aaaa3ee4419a87a45c7100e0ad3eec81a9492ae9c2b8d9bfbf3f65bd22217ac992af14ed0c9fc782f36d2c0976a83934103bf964f58f24e3a31b039c67a1fcede1eb09c8fe6d64b58e3216756951ed69bd855910ae28f44f3ff336ee73097959d2rootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootperl-Algorithm-NaiveBayes-0.04-32.fc39.src.rpmperl(Algorithm::NaiveBayes)perl(Algorithm::NaiveBayes::Model::Discrete)perl(Algorithm::NaiveBayes::Model::Frequency)perl(Algorithm::NaiveBayes::Model::Gaussian)perl(Algorithm::NaiveBayes::Util)perl-Algorithm-NaiveBayes@@@@@@@@@@    perl(Algorithm::NaiveBayes)perl(Algorithm::NaiveBayes::Util)perl(Exporter)perl(List::Util)perl(Storable)perl(base)perl(constant)perl(strict)perl(vars)perl-libsrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)3.0.4-14.6.0-14.0-15.4.18-14.18.91d!c0bڑ@b@aN`]Fedora Release Engineering - 0.04-32Fedora Release Engineering - 0.04-31Fedora Release Engineering - 0.04-30Jitka Plesnikova - 0.04-29Fedora Release Engineering - 0.04-28Fedora Release Engineering - 0.04-27- Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_38_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild- Perl 5.36 rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_36_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_35_Mass_Rebuild 0.040.04-32.fc39perl-Algorithm-NaiveBayesChangesAlgorithm::NaiveBayes.3pm.gzAlgorithmNaiveBayesNaiveBayes.pmModelDiscrete.pmFrequency.pmGaussian.pmUtil.pm/usr/share/doc//usr/share/doc/perl-Algorithm-NaiveBayes//usr/share/man/man3//usr/share/perl5/vendor_perl//usr/share/perl5/vendor_perl/Algorithm//usr/share/perl5/vendor_perl/Algorithm/NaiveBayes//usr/share/perl5/vendor_perl/Algorithm/NaiveBayes/Model/-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointercpiozstd19noarch-redhat-linux-gnudirectoryASCII texttroff or preprocessor input, ASCII text (gzip compressed data, max compression, from Unix)Perl5 module source textR R PR RRRR PR RRRRPR RRRRPR RRRRRPR RRRRRhttps://bugz.fedoraproject.org/perl-Algorithm-NaiveBayesutf-87400082489fe58b60e08d11d0b21f2a8a71d230f9db4a2ef66819d62bc5c8c64b6ae14eb2033f10e549db1784a111bcdea12c4f2ea4e7be058605cf9045fb0c9? 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