{"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\/fr\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","title":{"rendered":"GitHub a ouvert des travaux sur l'application de l'apprentissage automatique pour la recherche et l'analyse de code","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\/\">pr\u00e9sent\u00e9<\/a><\/noindex> le projet <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/abs\/1909.09436\">CodeSearchNet<\/a><\/noindex>, dans le cadre duquel des mod\u00e8les d'apprentissage automatique et des ensembles de donn\u00e9es ont \u00e9t\u00e9 pr\u00e9par\u00e9s pour l'analyse, la classification et l'analyse de code dans divers langages de programmation. CodeSearchNet, par analogie avec <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/ImageNet\">ImageNet<\/a><\/noindex>, comprend une vaste collection d'extraits de code, accompagn\u00e9s de notes formalisant les actions ex\u00e9cut\u00e9es par le code. Les composants pour former les mod\u00e8les et les exemples d'utilisation de CodeSearchNet sont \u00e9crits en Python en utilisant le framework Tensorflow et <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\">est distribu\u00e9<\/a><\/noindex> sous licence MIT.<\/p>\n<p>Lors de la cr\u00e9ation de CodeSearchNet, des technologies d'analyse de texte en langage naturel ont \u00e9t\u00e9 utilis\u00e9es, permettant aux syst\u00e8mes d'apprentissage automatique de prendre en compte non seulement les caract\u00e9ristiques syntaxiques, mais aussi le sens des actions ex\u00e9cut\u00e9es par le code. Sur GitHub, le syst\u00e8me <noindex><a rel=\"nofollow\" href=\"https:\/\/github.blog\/2018-09-18-towards-natural-language-semantic-code-search\/\">utilisons<\/a><\/noindex> dans des exp\u00e9riences d'organisation de recherche s\u00e9mantique de code utilisant des requ\u00eates en <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\/blob\/master\/resources\/queries.csv\">langage naturel<\/a><\/noindex> (par exemple, lors de la requ\u00eate \u00ab tri de la liste des cha\u00eenes \u00bb, le code affich\u00e9 impl\u00e9mente les algorithmes correspondants).<\/p>\n<p>L'ensemble de donn\u00e9es propos\u00e9 comprend plus de 2 millions de paires \u00ab code-commentaire \u00bb, pr\u00e9par\u00e9es sur la base des textes sources de biblioth\u00e8ques ouvertes existantes. Le code couvre le texte source complet de fonctions ou de m\u00e9thodes individuelles, tandis que le commentaire d\u00e9crit les actions ex\u00e9cut\u00e9es par la fonction (une documentation d\u00e9taill\u00e9e est fournie). Actuellement, des ensembles de donn\u00e9es sont pr\u00e9par\u00e9s pour les langages Python, JavaScript, Ruby, Go, Java et PHP. Des exemples d'utilisation des ensembles de donn\u00e9es propos\u00e9s pour l'apprentissage de diff\u00e9rents types de r\u00e9seaux neuronaux sont fournis. <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) et <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Convolutional_neural_network\">1D-CNN+Self-Attention Hybrid<\/a><\/noindex>.<\/p>\n<p>Pour le d\u00e9veloppement des m\u00e9canismes de recherche en langage naturel, un ensemble CodeSearchNet Challenge a \u00e9galement \u00e9t\u00e9 pr\u00e9par\u00e9, comprenant<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet\/blob\/master\/resources\/queries.csv\">99 requ\u00eates types<\/a><\/noindex> avec environ 4000 annotations d'experts d\u00e9crivant les associations les plus probables au code dans l'ensemble de donn\u00e9es CodeSearchNet Corpus, couvrant environ 6 millions de m\u00e9thodes et de fonctions (<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/github\/CodeSearchNet#downloading-data-from-s3\">la taille de l'ensemble<\/a><\/noindex> environ 20 Go). Le CodeSearchNet Challenge peut servir de r\u00e9f\u00e9rence pour \u00e9valuer l'efficacit\u00e9 de diff\u00e9rentes m\u00e9thodes de recherche de code en langage naturel. En utilisant les outils <noindex><a rel=\"nofollow\" href=\"https:\/\/www.kubeflow.org\/\">Kubeflow<\/a><\/noindex> pr\u00e9par\u00e9<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/kubeflow\/examples\/tree\/master\/code_search\">exemple<\/a><\/noindex> moteur de recherche de code.<\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Source : <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 5.0.2.1 - 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\" href=\"https:\/\/prohoster.info\/fr\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.2.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"fr_FR\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47GitHub \u043e\u0442\u043a\u0440\u044b\u043b \u043d\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043f\u043e\u0438\u0441\u043a\u0430 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043a\u043e\u0434\u0430 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"GitHub \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043f\u0440\u043e\u0435\u043a\u0442\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/fr\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2019-10-31T19:23:47+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2019-10-31T19:23:47+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47GitHub a ouvert ses travaux sur l'application de l'apprentissage automatique pour la recherche et l'analyse de code | ProHoster","description":"GitHub a pr\u00e9sent\u00e9 le projet","canonical_url":"https:\/\/prohoster.info\/fr\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"fr_FR","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47GitHub \u043e\u0442\u043a\u0440\u044b\u043b \u043d\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043f\u043e\u0438\u0441\u043a\u0430 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043a\u043e\u0434\u0430 | ProHoster","og:description":"GitHub \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043f\u0440\u043e\u0435\u043a\u0442","og:url":"https:\/\/prohoster.info\/fr\/blog\/news\/github-otkryl-narabotki-po-primeneniyu-mashinnogo-obucheniya-dlya-poiska-i-analiza-koda","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-10-31T19:23:47+00:00","article:modified_time":"2019-10-31T19:23:47+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"38448","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-23 22:05:20","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-03-01 01:09:22","updated":"2026-01-23 22:05:20","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/posts\/38448","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/comments?post=38448"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/posts\/38448\/revisions"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/media?parent=38448"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/categories?post=38448"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/fr\/wp-json\/wp\/v2\/tags?post=38448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}