{"payload":{"header_redesign_enabled":false,"results":[{"id":"234784442","archived":false,"color":"#3572A5","followers":300,"has_funding_file":false,"hl_name":"rodrigo-arenas/Sklearn-genetic-opt","hl_trunc_description":"ML hyperparameters tuning and features selection, using evolutionary algorithms.","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":234784442,"name":"Sklearn-genetic-opt","owner_id":31422766,"owner_login":"rodrigo-arenas","updated_at":"2024-05-07T15:32:16.702Z","has_issues":true}},"sponsorable":false,"topics":["python","machine-learning","scikit-learn","sklearn","feature-selection","artificial-intelligence","hyperparameters","model-selection","hyperparameter-optimization","evolutionary-algorithms","help-wanted","looking-for-contributors","up-for-grabs","automl","deap","contributions-welcome","good-first-issue","goodfirstissue","begginer-friendly","featureselection"],"type":"Public","help_wanted_issues_count":2,"good_first_issue_issues_count":1,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":77,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Arodrigo-arenas%252FSklearn-genetic-opt%2B%2Blanguage%253APython","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/rodrigo-arenas/Sklearn-genetic-opt/star":{"post":"Gp4R7HCdvEiNN-rXqgE9uoGxpiDnaiMSSGwrgPifLZwb7PjDVVVx4X7mLxpQQCgO3mU47XCSFCmuU8YXsz8zcA"},"/rodrigo-arenas/Sklearn-genetic-opt/unstar":{"post":"HD0vNLOh2tEJ00ZMxXVpF5CiKicO_XEbJrjE3B02R470A4obiztvmEGp2yfPSHs857vlKiz5vkJBzPu0JKtR6g"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"XzRodMrNcootQ24oXK5udoS-g9Ic3_YKupagO296UYO3ujPcOWPR-F9EgAUJRV-hunU_v0qLi2aKOeNZbuPN9g"}}},"title":"Repository search results"}