perl-Algorithm-NaiveBayes-0.04-34.fc40 >t 6 6_ 6 J \ `3!]W>D] 'p~[ye" 'p~[y|o9!E6SwMגl Q$JBsu<`gtĭHM/[+4v 4Dw`NV _̨TbW8vi[mzn&;^b4dۈY*-%+ImAc {5Šf$ R߭{ LyqrĦo'BS/6ka6ALn~EBh :<ѱWZ29IIe&;G:N[U6ڜ,~Y l(YCJ8/<8agP<%1"vanm /uA$|ْXJ8tbZr8 g)7c%HPC5"ZE/mbG!bȐ,w#Ir)mT;ϖ !^%|΀OƼ ݊$0QĘ _xDw;`XHC1v3l`K?{(9(MMγ";jnLe5ee6bd05a439e11b379e3aacaaa360a92b0fc9ca1e8a13f58c55fc7d41b14897d581b42921541147cb281f4da74173851478eb2030204a3204a9e00473045022100e9bd7a4ab4ec08d528e6d503b7cb1c14e241ac5f4290cdedcee1439dc7caecc102201cf4b10e34f66e21a0a17ff502169b921fea89d5999e0bcd9d142b85e6d25e91030204a3204a9e00483046022100dd08c52e1e676ecd5ad729df183432d74c9e7a255b5793df644d4e045925872c022100eda48fb36b7c24bcff0ee9472bbbf52e9d61a4477b534fdca506ed8f2e91692b030204a3204a9e00473045022051a1e61c1ce586ed1de98c873375ed324f8ce761b06cca5fa8425c515b4b99d902210080d01354b8a0a47c8c83d97fbeb19989f1dad550f0e0550020412b3316c17337030204a3204a9e0046304402203275e1c428f53b97715224a9566d56dfeda15e1ce8b255f03bf86d4bfe79d18702207611f2c9350afdfe310aa19966b2757e9d247733e281967a368a170c0ef4e37d030204a3204a9e00473045022028a3f972cdfaac41a19f20202af737c7fcc0069459801fe0d3536700df6e9598022100fa724e5b5bb76a3f44e9e4ba828f6dfe4cebd1f65bcf73941c0c593f7a77c19a030204a3204a9e00473045022100c2ff8c92c7d0cbe5e5afff71e4b5363e3ff43cf8c9d89677e58751dd4e0449c00220307390623a2a18b2d139652ffeb639fbff0ceae1993a53bb3854d49592bde094030204a3204a9e00483046022100d4911535fb8199df95a8f4540256bed0b1b383248d524350267a23badfa1244c022100ff6599e2457d5516c34ec1a814f3b89e0ed5df2bb3d17b3139684d4fac8cd3cf=r3!]W>D] 'p~[ye" 'p~[yynKX+dU#:ʘFN(> ,(Mq?}v-ͳfх~X' -z ,.`wwչLk ]8kS_Z"M&8\ǏbsMmgl w||6qDhgI01Q?Q!?֞P#c >Xt4 acHs.;Vcvfo[Wgi#T_ WV},^rk8(a/%߀#5p)Wn*|# ov}dM5*$gSu \ IbX$&Cta%+xݞ@f*7Vu7?I+U mߺ{k1%- nE55.lK`X?h,EhyL@0LL?,cP}q @ms1{a'p4eg"󌭳`>}?md! ) Kx| $*4 `  v           *\ h(89: iG H I , X 8Y P\ h ] ^ )b *deflt u v8w x y"(,Cperl-Algorithm-NaiveBayes0.0434.fc40Bayesian 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.eZ;buildvm-s390x-23.s390.fedoraproject.orgQFedora ProjectFedora ProjectGPL+ or ArtisticFedora ProjectUnspecifiedhttps://metacpan.org/release/Algorithm-NaiveBayeslinuxnoarch" "A큤AA큤A큤eFiReeeeeeeee7ca41878c9be6e5ebe302ae6269853ec97acb69593c90c6d8fa6d2be0f65eb93ef5f9a88c4231f667cf992ffef4d00233bba1846e7dc8b920e0c3f5b6bab3db91fe76c7c18a87ef54f42db756b8babcb8f48a198db7ee2cf18dc9fdf463c0316351cda66d26453c6001bef10713c48858bf26fa2ef4c92c9eb24a07aa51775aaaa3ee4419a87a45c7100e0ad3eec81a9492ae9c2b8d9bfbf3f65bd22217ac992af14ed0c9fc782f36d2c0976a83934103bf964f58f24e3a31b039c67a1fcede1eb09c8fe6d64b58e3216756951ed69bd855910ae28f44f3ff336ee73097959d2rootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootperl-Algorithm-NaiveBayes-0.04-34.fc40.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)3.0.4-14.6.0-14.0-15.4.18-14.19.1eM@e@d!c0bڑ@b@Fedora Release Engineering - 0.04-34Fedora Release Engineering - 0.04-33Fedora Release Engineering - 0.04-32Fedora Release Engineering - 0.04-31Fedora Release Engineering - 0.04-30Jitka Plesnikova - 0.04-29- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild- 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 0.040.04-34.fc40perl-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 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protectioncpiozstd19noarch-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-8dc4f028915e5944d1d883177aad57bcd9db8eb21489ca4328e29934992349499589d49006f27a55a07a50a68e90a36a832b1756a12ac08ede2bd01c4c6cddca7? 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