{"id":213568,"date":"2025-06-23T11:32:13","date_gmt":"2025-06-23T09:32:13","guid":{"rendered":"https:\/\/www.aivancity.ai\/blog\/?p=213568"},"modified":"2025-06-23T11:41:59","modified_gmt":"2025-06-23T09:41:59","slug":"machine-learning-en-python-ce-que-change-la-version-1-7-de-scikit-learn","status":"publish","type":"post","link":"https:\/\/aivancity.ai\/blog\/machine-learning-en-python-ce-que-change-la-version-1-7-de-scikit-learn\/","title":{"rendered":"Machine learning en Python : ce que change la version 1.7 de Scikit-learn"},"content":{"rendered":"\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-d0cd0d3c1960dd6a7b0decc30fbc7c8e\" style=\"color:#986e13\">Que r\u00e9v\u00e8le la derni\u00e8re mise \u00e0 jour de Scikit-learn sur l\u2019\u00e9volution du machine learning classique ?<\/h2>\n\n\n\n<p class=\"text-justify\">Le machine learning (ou apprentissage automatique) repose sur des algorithmes capables de d\u00e9tecter des patterns dans les donn\u00e9es pour produire des pr\u00e9dictions ou des classifications. Pour faciliter le d\u00e9veloppement de ces mod\u00e8les, les d\u00e9veloppeurs s\u2019appuient sur des <strong>biblioth\u00e8ques open source<\/strong> : des ensembles d\u2019outils pr\u00e9con\u00e7us con\u00e7us pour gagner du temps, garantir la reproductibilit\u00e9 et standardiser les bonnes pratiques.<\/p>\n\n\n\n<p class=\"text-justify\">Parmi elles, <strong>Scikit-learn<\/strong> s\u2019est impos\u00e9e depuis plus d\u2019une d\u00e9cennie comme une r\u00e9f\u00e9rence dans l\u2019\u00e9cosyst\u00e8me Python. Destin\u00e9e \u00e0 l\u2019apprentissage automatique supervis\u00e9 et non supervis\u00e9, elle offre une interface coh\u00e9rente pour une grande vari\u00e9t\u00e9 d\u2019algorithmes (r\u00e9gression, classification, clustering, etc.). Accessible aux d\u00e9butants comme aux experts, cette biblioth\u00e8que est aujourd\u2019hui omnipr\u00e9sente dans les projets \u00e9ducatifs, industriels et scientifiques.<\/p>\n\n\n\n<p class=\"text-justify\">La publication de la version 1.7, le 5 juin 2025, vient confirmer cette dynamique d\u2019\u00e9volution continue. Sans introduire de rupture majeure, cette mise \u00e0 jour am\u00e9liore sensiblement les performances, l\u2019ergonomie et l\u2019int\u00e9gration d\u2019outils r\u00e9cents, dans un contexte o\u00f9 les exigences en mati\u00e8re de reproductibilit\u00e9, de traitement \u00e0 grande \u00e9chelle et d\u2019explicabilit\u00e9 s\u2019intensifient.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-f28f8ebf4adea0c82725a4852d291fa1\" style=\"color:#986e13\">Des nouveaut\u00e9s orient\u00e9es vers la performance et la fluidit\u00e9<\/h2>\n\n\n\n<p class=\"text-justify\">La version 1.7 introduit des am\u00e9liorations notables qui visent \u00e0 faciliter l\u2019usage de la biblioth\u00e8que tout en optimisant ses capacit\u00e9s computationnelles.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"text-justify\"><strong>Un nouveau moteur de parall\u00e9lisation bas\u00e9 sur Loky 4.1<\/strong> : cette \u00e9volution r\u00e9duit significativement les temps de traitement lors des entra\u00eenements crois\u00e9s, avec un gain de performance de 20 \u00e0 30 % sur des datasets de taille moyenne<sup><a href=\"#ref1\">1<\/a><\/sup>.<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Optimisation de HistGradientBoostingClassifier <\/strong>: les versions pr\u00e9c\u00e9dentes proposaient d\u00e9j\u00e0 ce classifieur tr\u00e8s performant. La 1.7 am\u00e9liore sa vitesse d\u2019ex\u00e9cution (+15 % en moyenne) et sa compatibilit\u00e9 avec les donn\u00e9es manquantes.<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Ajout du param\u00e8tre copy dans plusieurs estimateurs<\/strong> : ce d\u00e9tail am\u00e9liore la gestion m\u00e9moire et l\u2019efficacit\u00e9 sur des pipelines longs, notamment dans les environnements cloud ou embarqu\u00e9s.<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Refonte de la fonction permutation_importance : <\/strong>d\u00e9sormais compatible avec davantage d\u2019objets Pipeline, elle facilite l\u2019analyse de l\u2019importance des variables dans des processus automatis\u00e9s.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-ea134719c09d76f00307af9dbc73079f\" style=\"color:#986e13\">Une exp\u00e9rience utilisateur plus fluide<\/h2>\n\n\n\n<p>La communaut\u00e9 Scikit-learn a mis l\u2019accent sur l\u2019ergonomie et l\u2019uniformisation :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"text-justify\"><strong>Messages d\u2019erreur plus explicites<\/strong> : les erreurs de typage et les incompatibilit\u00e9s sont mieux g\u00e9r\u00e9es, ce qui am\u00e9liore la p\u00e9dagogie dans les phases de prototypage.<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Compatibilit\u00e9 am\u00e9lior\u00e9e avec Pandas 2.2 et NumPy 2.0<\/strong> : un enjeu majeur pour le maintien d\u2019un \u00e9cosyst\u00e8me coh\u00e9rent dans les environnements scientifiques Python.<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Support renforc\u00e9 pour sparse dataframes :<\/strong> un atout pour le traitement de donn\u00e9es textuelles ou d\u2019ensembles tr\u00e8s creux.<\/li>\n<\/ul>\n\n\n\n<p class=\"text-justify\">Ces \u00e9volutions ne modifient pas fondamentalement les principes de l\u2019API Scikit-learn (toujours fond\u00e9e sur .fit(), .predict() et .transform()), mais elles participent d\u2019un affinement continu visant \u00e0 rendre le code plus lisible, r\u00e9utilisable et performant.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-48edf9d9ffd812b46ad626943827e390\" style=\"color:#986e13\">Cas d\u2019usage et adoption en environnement professionnel<\/h2>\n\n\n\n<p class=\"text-justify\">Scikit-learn reste un pilier du machine learning \u00ab\u00a0classique\u00a0\u00bb, particuli\u00e8rement appr\u00e9ci\u00e9 pour :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Les <strong>mod\u00e8les interpr\u00e9tables<\/strong>, pris\u00e9s dans les domaines r\u00e9glement\u00e9s (sant\u00e9, finance, secteur public) ;<\/li>\n\n\n\n<li>La <strong>mise en production rapide de mod\u00e8les<\/strong> via des pipelines standards ;<\/li>\n\n\n\n<li>L\u2019<strong>int\u00e9gration dans des cha\u00eenes de traitement de donn\u00e9es<\/strong> compatibles avec pandas, NumPy ou joblib.<\/li>\n<\/ul>\n\n\n\n<p>Par exemple :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"text-justify\">Chez Airbus, Scikit-learn est utilis\u00e9 pour des syst\u00e8mes de maintenance pr\u00e9dictive sur les capteurs d\u2019avion, avec une pr\u00e9f\u00e9rence pour des mod\u00e8les robustes comme Random Forest<sup><a href=\"#ref2\">2<\/a><\/sup>.<\/li>\n\n\n\n<li class=\"text-justify\">Dans le domaine bancaire, Cr\u00e9dit Agricole Assurances s\u2019appuie sur LogisticRegression et GradientBoostingClassifier pour la d\u00e9tection de fraudes sur des volumes de donn\u00e9es structur\u00e9es<sup><a href=\"#ref3\">3<\/a><\/sup>.<\/li>\n\n\n\n<li class=\"text-justify\">La startup MedStat.ai combine Scikit-learn avec FastAPI pour d\u00e9ployer des outils de scoring de patients en oncologie personnalis\u00e9e, avec une exigence forte en auditabilit\u00e9 du code<sup><a href=\"#ref4\">4<\/a><\/sup>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-18cba371cab332b00818640acae58186\" style=\"color:#986e13\">Vers une compl\u00e9mentarit\u00e9 avec les frameworks deep learning<\/h2>\n\n\n\n<p class=\"text-justify\">Si Scikit-learn ne vise pas \u00e0 concurrencer PyTorch ou TensorFlow sur les mod\u00e8les profonds, son articulation avec ces biblioth\u00e8ques est facilit\u00e9e via :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Des wrappers permettant de combiner mod\u00e8les torch avec des pipelines Scikit-learn ;<\/li>\n\n\n\n<li class=\"text-justify\">Une compatibilit\u00e9 avec ONNX pour exporter certains mod\u00e8les dans des formats standardis\u00e9s utilisables en production ;<\/li>\n\n\n\n<li>Une int\u00e9gration renforc\u00e9e dans les notebooks hybrides utilisant des blocs AutoML.<\/li>\n<\/ul>\n\n\n\n<p class=\"text-justify\">Cette cohabitation entre frameworks refl\u00e8te une tendance de fond : celle d\u2019un machine learning modulaire, o\u00f9 les outils sont choisis pour leur pertinence, leur explicabilit\u00e9 et leur maintenabilit\u00e9.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-f25f51c63ee76411ddc25ebb730db231\" style=\"color:#986e13\">Une roadmap tourn\u00e9e vers l\u2019efficience et l\u2019explicabilit\u00e9<\/h2>\n\n\n\n<p>D\u2019apr\u00e8s le core developer Thomas Fan, les prochaines versions devraient approfondir :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>L\u2019int\u00e9gration de nouveaux estimateurs plus l\u00e9gers ;<\/li>\n\n\n\n<li>Le support natif du GPU pour certaines op\u00e9rations ;<\/li>\n\n\n\n<li class=\"text-justify\">Une meilleure compatibilit\u00e9 avec les workflows de mod\u00e9lisation orient\u00e9s \u00e9thique et tra\u00e7abilit\u00e9 (avec SHAP, LIME ou Fairlearn).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-aa8f0ed143aa48e26618a1d0999f8fc1\" style=\"color:#986e13\">L\u2019IA responsable passe aussi par des outils bien con\u00e7us<\/h2>\n\n\n\n<p class=\"text-justify\">En facilitant une mod\u00e9lisation robuste, reproductible et interpr\u00e9table, Scikit-learn continue de jouer un r\u00f4le fondamental dans le d\u00e9veloppement d\u2019une IA responsable et accessible. Sa version 1.7, sans r\u00e9volutionner l\u2019\u00e9cosyst\u00e8me, conforte cette position en s\u2019adaptant aux attentes des chercheurs, data scientists et ing\u00e9nieurs de demain.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-text-color has-link-color wp-elements-19fdafd4a8441eb61b5d0fa20a78a13b\" style=\"color:#5a5e83\">R\u00e9f\u00e9rences<\/h3>\n\n\n\n<p id=\"ref1\" style=\"text-align:justify;\">1.Scikit-learn Developers. (2025). Release Highlights for 1.7. <br> <a href=\"https:\/\/scikit-learn.org\/stable\/whats_new\/v1.7.html\">https:\/\/scikit-learn.org\/stable\/whats_new\/v1.7.html<\/a>\n<\/p>\n\n\n\n<p id=\"ref2\" style=\"text-align:justify;\">2. Airbus AI Lab. (2024). Predictive Maintenance at Scale.  <br> \n<a href=\"https:\/\/www.airbus.com\/en\/innovation\/digitalisation\" target=\"_blank\">https:\/\/www.airbus.com\/en\/innovation\/digitalisation<\/a>\n<\/p>\n\n\n\n<p id=\"ref3\" style=\"text-align:justify;\">3. Cr\u00e9dit Agricole Assurances. (2023). IA et d\u00e9tection des fraudes : vers une gouvernance renforc\u00e9e.   <br> \n<a href=\"https:\/\/www.ca-assurances.com\/\" target=\"_blank\">https:\/\/www.ca-assurances.com\/<\/a>\n<\/p>\n\n\n\n<p id=\"ref4\" style=\"text-align:justify;\">4. MedStat.ai. (2025). Medical Scoring System powered by ML.   <br> \n<a href=\"https:\/\/www.medstat.ai\/\" target=\"_blank\">https:\/\/www.medstat.ai\/<\/a>\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>La publication de la version 1.7, le 5 juin 2025, vient confirmer cette dynamique d\u2019\u00e9volution continue. Sans introduire de rupture majeure, cette mise \u00e0 jour am\u00e9liore sensiblement les performances, l\u2019ergonomie et l\u2019int\u00e9gration d\u2019outils r\u00e9cents, dans un contexte o\u00f9 les exigences en mati\u00e8re de reproductibilit\u00e9, de traitement \u00e0 grande \u00e9chelle et d\u2019explicabilit\u00e9 s\u2019intensifient.<\/p>\n","protected":false},"author":2,"featured_media":213569,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[44],"tags":[59],"class_list":{"0":"post-213568","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-avancees-technologiques-en-ia","8":"tag-parlonsia"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Machine learning en Python : ce que change la version 1.7 de Scikit-learn<\/title>\n<meta name=\"description\" content=\"Scikit-learn 1.7 apporte des am\u00e9liorations majeures en performance, ergonomie et compatibilit\u00e9. 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