{"id":38448,"date":"2019-10-31T22:23:47","date_gmt":"2019-10-31T19:23:47","guid":{"rendered":"https:\/\/prohoster.info\/blog\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda\/"},"modified":"2019-10-31T22:23:47","modified_gmt":"2019-10-31T19:23:47","slug":"github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","title":{"rendered":"GitHub hapi punimet mbi p\u00ebrdorimin e m\u00ebsimit t\u00eb makinerive p\u00ebr k\u00ebrkimin dhe analizimin e kodit","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

GitHub prezentoi<\/a><\/noindex> projektin CodeSearchNet<\/a><\/noindex>, ku do t\u00eb p\u00ebrgatiten modele t\u00eb m\u00ebsimit t\u00eb makineris\u00eb dhe grupe t\u00eb dh\u00ebnash, t\u00eb nevojshme p\u00ebr interpretime, klasifikim dhe analiz\u00eb t\u00eb kodit n\u00eb gjuh\u00eb t\u00eb ndryshme programimi. CodeSearchNet, ashtu si ImageNet<\/a><\/noindex>, p\u00ebrfshin nj\u00eb koleksion t\u00eb madh fragmentesh kodi, t\u00eb pajisur me sh\u00ebnime q\u00eb formalisht p\u00ebrshkruajn\u00eb veprimet q\u00eb kryhen nga kodi. Komponent\u00ebt p\u00ebr trajnim t\u00eb modeleve dhe shembujt e p\u00ebrdorimit t\u00eb CodeSearchNet jan\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur struktur\u00ebn Tensorflow dhe distribuohet<\/a><\/noindex> n\u00eb p\u00ebrputhje me licenc\u00ebn MIT.<\/p>\n

Gjat\u00eb krijimit t\u00eb CodeSearchNet u p\u00ebrdor\u00ebn teknologji p\u00ebr analiz\u00ebn e tekstit n\u00eb gjuh\u00eb natyrore, duke i mund\u00ebsuar sistemeve t\u00eb m\u00ebsimit t\u00eb makineris\u00eb t\u00eb marrin parasysh jo vet\u00ebm karakteristikat sintaksore, por edhe dometh\u00ebnien e veprimeve q\u00eb kryhen nga kodi. N\u00eb GitHub sistemi p\u00ebrdoret<\/a><\/noindex> n\u00eb eksperimentet p\u00ebr organizimin e k\u00ebrkimit semantik t\u00eb kodit duke p\u00ebrdorur k\u00ebrkesa n\u00eb gjuh\u00ebn natyrore<\/a><\/noindex> (p\u00ebr shembull, kur k\u00ebrkohet «renditja e list\u00ebs s\u00eb vargjeve», kthehet kodi me implementimin e algoritmeve p\u00ebrkat\u00ebse).<\/p>\n

Grupi i t\u00eb dh\u00ebnave t\u00eb propozuar p\u00ebrfshin m\u00eb shum\u00eb se 2 milion lidhje «kod-koment», t\u00eb p\u00ebrgatitura mbi baz\u00ebn e teksteve origjinale t\u00eb librarive ekzistuese t\u00eb hapura. Kodi mbulon tekstin e plot\u00eb origjinal t\u00eb funksioneve ose metodave t\u00eb ndryshme, nd\u00ebrsa komentet p\u00ebrshkruajn\u00eb veprimet q\u00eb kryen funksioni (sigurohet dokumentacion i detajuar). Aktualisht, grupet e t\u00eb dh\u00ebnave jan\u00eb p\u00ebrgatitur p\u00ebr gjuh\u00ebt Python, JavaScript, Ruby, Go, Java dhe PHP. Jan\u00eb ofruar shembuj t\u00eb p\u00ebrdorimit t\u00eb grupeve t\u00eb propozuara t\u00eb t\u00eb dh\u00ebnave p\u00ebr trajnimin e llojeve t\u00eb ndryshme t\u00eb rrjeteve nervore, duke p\u00ebrfshir\u00eb Neural-Bag-Of-Words<\/a><\/noindex>, RNN<\/a><\/noindex>, Self-Attention<\/a><\/noindex> (BERT) dhe 1D-CNN+Self-Attention Hybrid<\/a><\/noindex>.<\/p>\n

P\u00ebr zhvillimin e mekanizmave t\u00eb k\u00ebrkimit n\u00eb gjuh\u00ebn natyrore, \u00ebsht\u00eb p\u00ebrgatitur gjithashtu grupi CodeSearchNet Challenge, i cili p\u00ebrfshin
\n99 lloje standarde<\/a><\/noindex> k\u00ebrkesash me rreth 4,000 annotime ekspert\u00ebsh, q\u00eb p\u00ebrshkruajn\u00eb lidhjet m\u00eb t\u00eb mundshme me kodin n\u00eb grupin e t\u00eb dh\u00ebnave CodeSearchNet Corpus, q\u00eb mbulon rreth 6 milion metoda dhe funksione (p\u00ebrmasat e grupit<\/a><\/noindex> rreth 20 GB). CodeSearchNet Challenge mund t\u00eb sh\u00ebrbej\u00eb si standard p\u00ebr vler\u00ebsimin e efektivitetit t\u00eb metodave t\u00eb ndryshme p\u00ebr k\u00ebrkimin e kodit n\u00eb gjuh\u00ebn natyrore. Me p\u00ebrdorimin e veglave Kubeflow<\/a><\/noindex> \u00ebsht\u00eb p\u00ebrgatitur
\nshembull<\/a><\/noindex> p\u00ebr motorin e k\u00ebrkimit t\u00eb kodit.<\/p>\n

<\/a><\/noindex><\/p>\n

Burimi: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

GitHub \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043f\u0440\u043e\u0435\u043a\u0442 CodeSearchNet, \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u044b \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u043d\u0430\u0431\u043e\u0440\u044b \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u044b\u0435 \u0434\u043b\u044f \u0440\u0430\u0437\u0431\u043e\u0440\u0430, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043a\u043e\u0434\u0430 \u043d\u0430 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u044f\u0437\u044b\u043a\u0430\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f. CodeSearchNet, \u043f\u043e \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0438 \u0441 ImageNet, \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043a\u043e\u043b\u043b\u0435\u043a\u0446\u0438\u044e \u043e\u0442\u0440\u044b\u0432\u043a\u043e\u0432 \u043a\u043e\u0434\u0430, \u0441\u043d\u0430\u0431\u0436\u0451\u043d\u043d\u044b\u0445 \u0430\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u044f\u043c\u0438, \u0444\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u0443\u044e\u0449\u0438\u043c\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0435 \u043a\u043e\u0434\u043e\u043c \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f. \u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f CodeSearchNet \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u044b \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-38448","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47GitHub ka hapur k\u00ebrkimet mbi aplikimin e m\u00ebsimit t\u00eb makineris\u00eb p\u00ebr k\u00ebrkimin dhe analiz\u00ebn e kodit | ProHoster","description":"GitHub paraqiti 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