{"payload":{"header_redesign_enabled":false,"results":[{"id":"353501913","archived":false,"color":"#DA5B0B","followers":1,"has_funding_file":false,"hl_name":"JayThibs/hyperdrive-vs-automl-plus-deployment","hl_trunc_description":"Comparing models trained with HyperDrive and AutoML, and choosing the best model to deploy and consume in AzureML Studio.","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":353501913,"name":"hyperdrive-vs-automl-plus-deployment","owner_id":19174440,"owner_login":"JayThibs","updated_at":"2021-04-19T17:21:46.491Z","has_issues":true}},"sponsorable":false,"topics":["hyperparameter-tuning","automl","azureml-studio"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":72,"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%253AJayThibs%252Fhyperdrive-vs-automl-plus-deployment%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/JayThibs/hyperdrive-vs-automl-plus-deployment/star":{"post":"RNUUP5lh23dsp8M2vm58t6w2RuqYHfU73tcY5rrEI7pGbvb9b0js5oN2oWWij_GA6i7qKQJ8Rlzdg44CCDaQaQ"},"/JayThibs/hyperdrive-vs-automl-plus-deployment/unstar":{"post":"sE7kBMDZBXzpMl26V4QoPof8wfpJ8Rxvx0qgFw1YnHGSq--quo_frADsytp32s1WCj9s_S3UTAh7Jx4bk4lWcw"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"SH_kWwlgg3pAvCQ_qq2qvB3syKTm3yKpGIMIwYX9K_FjZ0s4BdQ6ERIzeK2nGV2GcdH3IIs8y54YigfevWxuRQ"}}},"title":"Repository search results"}