{"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\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","title":{"rendered":"GitHub ka hapur p\u00ebrpjekjet p\u00ebr p\u00ebrdorimin e m\u00ebsimit t\u00eb makinerive p\u00ebr k\u00ebrkimin dhe analiz\u00ebn e kodit","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

GitHub paraqiti<\/a><\/noindex> projekt CodeSearchNet<\/a><\/noindex>, n\u00eb kuad\u00ebr t\u00eb t\u00eb cilit jan\u00eb p\u00ebrgatitur modele m\u00ebsimi t\u00eb makinerive dhe grupe t\u00eb dh\u00ebnash, t\u00eb nevojshme p\u00ebr analizimin, klasifikimin dhe analizimin e kodit n\u00eb gjuh\u00eb t\u00eb ndryshme programuese. CodeSearchNet, n\u00eb p\u00ebrputhje me ImageNet<\/a><\/noindex>, p\u00ebrmban nj\u00eb koleksion t\u00eb madh fragmentesh kodi, t\u00eb shoq\u00ebruara me annotime, q\u00eb p\u00ebrshkruajn\u00eb veprimet q\u00eb kryhen nga kodi. Komponent\u00ebt p\u00ebr m\u00ebsimin e modeleve dhe shembujt e p\u00ebrdorimit t\u00eb CodeSearchNet jan\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur korniz\u00ebn Tensorflow dhe shp\u00ebrndahet<\/a><\/noindex> n\u00ebn licenc\u00ebn MIT.<\/p>\n

Kur u krijua CodeSearchNet u p\u00ebrdor\u00ebn teknologji t\u00eb analiz\u00ebs s\u00eb tekstit n\u00eb gjuh\u00ebn natyrore, q\u00eb i lejojn\u00eb sistemeve t\u00eb m\u00ebsimit t\u00eb makinerive t\u00eb marrin parasysh jo vet\u00ebm karakteristikat sintaktike, por edhe kuptimin e veprimeve q\u00eb kryhen nga kodi. N\u00eb GitHub, sistemi aplikohet<\/a><\/noindex> n\u00eb eksperimentet p\u00ebr organizimin e k\u00ebrkimit semantik t\u00eb kodit duke p\u00ebrdorur k\u00ebrkesat n\u00eb gjuh\u00ebn natyrore<\/a><\/noindex> (p\u00ebr shembull, kur k\u00ebrkohet «renditja e list\u00ebs s\u00eb rrug\u00ebve», jepet kodi me zbatimin e algoritmeve p\u00ebrkat\u00ebse).<\/p>\n

Grupi i propozuar i t\u00eb dh\u00ebnave 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 p\u00ebrfshin tekstin e plot\u00eb origjinal t\u00eb funksioneve ose metodave t\u00eb ve\u00e7anta, nd\u00ebrsa komenti p\u00ebrshkruan veprimet q\u00eb kryen funksioni (ofrohet 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. Jepen shembuj t\u00eb p\u00ebrdorimit t\u00eb grupeve t\u00eb propozuara t\u00eb t\u00eb dh\u00ebnave p\u00ebr t\u00eb m\u00ebsuar lloje t\u00eb ndryshme t\u00eb rrjeteve neuronale, 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, duke p\u00ebrfshir\u00eb
\n99 k\u00ebrkesa tipike<\/a><\/noindex> me rreth 4 mij\u00eb 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 nj\u00eb standard p\u00ebr vler\u00ebsimin e efektivitetit t\u00eb metodave t\u00eb ndryshme t\u00eb k\u00ebrkimit t\u00eb kodit n\u00eb gjuh\u00ebn natyrore. Duke p\u00ebrdorur veglat Kubeflow<\/a><\/noindex> \u00ebsht\u00eb p\u00ebrgatitur
\n\u00ebsht\u00eb<\/a><\/noindex> motorin p\u00ebr k\u00ebrkimin e 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-news"],"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 publikoi k\u00ebrkesat p\u00ebr p\u00ebrdorimin e m\u00ebsimit mesin p\u00ebr gjetjen dhe analiz\u00ebn e kodit | ProHoster","description":"GitHub prezantoi 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