{"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\/hu\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","title":{"rendered":"A GitHub megnyitotta a g\u00e9pi tanul\u00e1s alkalmaz\u00e1sainak fejleszt\u00e9s\u00e9t a k\u00f3d keres\u00e9s\u00e9re \u00e9s elemz\u00e9s\u00e9re.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>GitHub <noindex><a rel=\"nofollow\" href=\"https:\/\/github.blog\/2019-09-26-introducing-the-codesearchnet-challenge\/\">bemutatott<\/a><\/noindex> projekt <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/abs\/1909.09436\">CodeSearchNet<\/a><\/noindex>, amelynek keret\u00e9ben felk\u00e9sz\u00fcltek a g\u00e9pi tanul\u00e1si modellek \u00e9s az adathalmazok, amelyek sz\u00fcks\u00e9gesek a k\u00fcl\u00f6nb\u00f6z\u0151 programoz\u00e1si nyelveken \u00edrt k\u00f3dok elemz\u00e9s\u00e9hez, oszt\u00e1lyoz\u00e1s\u00e1hoz \u00e9s elemz\u00e9s\u00e9hez. A CodeSearchNet, az anal\u00f3gi\u00e1j\u00e1ra <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/ImageNet\">ImageNet<\/a><\/noindex>, egy nagy gy\u0171jtem\u00e9nyt tartalmaz a k\u00f3dok fragmentumair\u00f3l, amelyek annot\u00e1ci\u00f3kkal vannak ell\u00e1tva, formaliz\u00e1lva a k\u00f3d \u00e1ltal v\u00e9grehajtott m\u0171veleteket. A modellek tan\u00edt\u00e1s\u00e1hoz sz\u00fcks\u00e9ges \u00f6sszetev\u0151k \u00e9s a CodeSearchNet haszn\u00e1lati p\u00e9ld\u00e1i Python nyelven \u00edr\u00f3dtak, a Tensorflow keretrendszer haszn\u00e1lat\u00e1val, \u00e9s <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\">terjeszt\u00e9sre ker\u00fcl<\/a><\/noindex> MIT licenc alatt \u00e1ll.<\/p>\n<p>A CodeSearchNet l\u00e9trehoz\u00e1sakor a term\u00e9szetes nyelv\u0171 sz\u00f6vegek elemz\u00e9s\u00e9re szolg\u00e1l\u00f3 technol\u00f3gi\u00e1kat haszn\u00e1ltak, amelyek lehet\u0151v\u00e9 teszik a g\u00e9pi tanul\u00e1si rendszerek sz\u00e1m\u00e1ra, hogy figyelembe vegy\u00e9k nemcsak a szintaktikai jellemz\u0151ket, hanem a k\u00f3d \u00e1ltal v\u00e9grehajtott m\u0171veletek \u00e9rtelm\u00e9t is. A GitHub rendszer <noindex><a rel=\"nofollow\" href=\"https:\/\/github.blog\/2018-09-18-towards-natural-language-semantic-code-search\/\">haszn\u00e1latban van<\/a><\/noindex> k\u00eds\u00e9rleteket v\u00e9gzett a k\u00f3dok sz\u00f6vegszer\u0171 keres\u00e9s\u00e9nek szervez\u00e9s\u00e9ben term\u00e9szetes nyelv\u0171 lek\u00e9rdez\u00e9sek haszn\u00e1lat\u00e1val <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\/blob\/master\/resources\/queries.csv\">term\u00e9szetes nyelven<\/a><\/noindex> (p\u00e9ld\u00e1ul, ha a \"sorozat list\u00e1ja rendez\u00e9se\" k\u00e9rd\u00e9sre k\u00e9rdeznek, a megfelel\u0151 algoritmusok megval\u00f3s\u00edt\u00e1s\u00e1nak k\u00f3dja jelenik meg).<\/p>\n<p>A javasolt adathalmaz t\u00f6bb mint 2 milli\u00f3 \"k\u00f3d-megjegyz\u00e9s\" p\u00e1rt tartalmaz, amelyeket l\u00e9tez\u0151 ny\u00edlt k\u00f6nyvt\u00e1rak forr\u00e1sai alapj\u00e1n k\u00e9sz\u00edtettek. A k\u00f3d tartalmazza egyes funkci\u00f3k vagy m\u00f3dszerek teljes forr\u00e1sk\u00f3dj\u00e1t, m\u00edg a megjegyz\u00e9s a funkci\u00f3 \u00e1ltal v\u00e9gzett m\u0171veletek le\u00edr\u00e1s\u00e1t adja (r\u00e9szletes dokument\u00e1ci\u00f3t tartalmaz). Jelenleg az adathalmazok a Python, JavaScript, Ruby, Go, Java \u00e9s PHP nyelvekhez k\u00e9sz\u00fcltek. P\u00e9ld\u00e1k ker\u00fcltek bemutat\u00e1sra a javasolt adathalmazok haszn\u00e1lat\u00e1ra k\u00fcl\u00f6nb\u00f6z\u0151 t\u00edpus\u00fa neur\u00e1lis h\u00e1l\u00f3zatok tan\u00edt\u00e1s\u00e1ra, bele\u00e9rtve <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Bag-of-words_model\">Neural-Bag-Of-Words<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Recurrent_neural_network\">RNN<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Transformer_(machine_learning_model)\">Self-Attention<\/a><\/noindex> (BERT) \u00e9s <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Convolutional_neural_network\">1D-CNN+Self-Attention Hybrid<\/a><\/noindex>.<\/p>\n<p>A term\u00e9szetes nyelv\u0171 keres\u00e9si mechanizmusok fejleszt\u00e9s\u00e9hez tov\u00e1bbi CodeSearchNet Challenge adathalmazt k\u00e9sz\u00edtettek, amely tartalmaz<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\/blob\/master\/resources\/queries.csv\">99 t\u00edpust<\/a><\/noindex> lek\u00e9rdez\u00e9seket k\u00f6r\u00fclbel\u00fcl 4000 szak\u00e9rt\u0151i annot\u00e1ci\u00f3val, amelyek a CodeSearchNet Corpus adathalmazban tal\u00e1lhat\u00f3 k\u00f3d legval\u00f3sz\u00edn\u0171bb k\u00f6t\u0151d\u00e9seit \u00edrj\u00e1k le, k\u00f6r\u00fclbel\u00fcl 6 milli\u00f3 m\u00f3dszert \u00e9s funkci\u00f3t lefedve (<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet#downloading-data-from-s3\">az adathalmaz m\u00e9rete<\/a><\/noindex> k\u00f6r\u00fclbel\u00fcl 20 GB). A CodeSearchNet Challenge mintak\u00e9nt szolg\u00e1lhat a term\u00e9szetes nyelv\u0171 k\u00f3dkeres\u00e9si m\u00f3dszerek hat\u00e9konys\u00e1g\u00e1nak \u00e9rt\u00e9kel\u00e9s\u00e9re. A <noindex><a rel=\"nofollow\" href=\"https:\/\/www.kubeflow.org\/\">Kubeflow<\/a><\/noindex> elk\u00e9sz\u00edtett<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/kubeflow\/examples\/tree\/master\/code_search\">p\u00e9ld\u00e1m<\/a><\/noindex> k\u00f3dkeres\u0151 motor haszn\u00e1lat\u00e1val.<\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Forr\u00e1s: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51570\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>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 [&hellip;]<\/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<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"GitHub \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043f\u0440\u043e\u0435\u043a\u0442\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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