{"action":"created","issue":{"url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/69","repository_url":"https://api.github.com/repos/SheffieldML/GPyOpt","labels_url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/69/labels{/name}","comments_url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/69/comments","events_url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/69/events","html_url":"https://github.com/SheffieldML/GPyOpt/issues/69","id":203545068,"number":69,"title":"How to save and load","user":{"login":"YoshikawaMasashi","id":17809477,"avatar_url":"https://avatars0.githubusercontent.com/u/17809477?v=4","gravatar_id":"","url":"https://api.github.com/users/YoshikawaMasashi","html_url":"https://github.com/YoshikawaMasashi","followers_url":"https://api.github.com/users/YoshikawaMasashi/followers","following_url":"https://api.github.com/users/YoshikawaMasashi/following{/other_user}","gists_url":"https://api.github.com/users/YoshikawaMasashi/gists{/gist_id}","starred_url":"https://api.github.com/users/YoshikawaMasashi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/YoshikawaMasashi/subscriptions","organizations_url":"https://api.github.com/users/YoshikawaMasashi/orgs","repos_url":"https://api.github.com/users/YoshikawaMasashi/repos","events_url":"https://api.github.com/users/YoshikawaMasashi/events{/privacy}","received_events_url":"https://api.github.com/users/YoshikawaMasashi/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2017-01-27T02:30:31Z","updated_at":"2018-05-12T03:56:36Z","closed_at":"2017-01-30T17:22:37Z","author_association":"NONE","body":"Dear SheffieldML\r\n\r\nIt is very convenient to use Bayesian optimization in Python.\r\n\r\nI want to preserve the optimization halfway, load it later and resume optimization.\r\nIs there a way to do this?"},"comment":{"url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/comments/388527823","html_url":"https://github.com/SheffieldML/GPyOpt/issues/69#issuecomment-388527823","issue_url":"https://api.github.com/repos/SheffieldML/GPyOpt/issues/69","id":388527823,"user":{"login":"xnchu","id":6273835,"avatar_url":"https://avatars2.githubusercontent.com/u/6273835?v=4","gravatar_id":"","url":"https://api.github.com/users/xnchu","html_url":"https://github.com/xnchu","followers_url":"https://api.github.com/users/xnchu/followers","following_url":"https://api.github.com/users/xnchu/following{/other_user}","gists_url":"https://api.github.com/users/xnchu/gists{/gist_id}","starred_url":"https://api.github.com/users/xnchu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xnchu/subscriptions","organizations_url":"https://api.github.com/users/xnchu/orgs","repos_url":"https://api.github.com/users/xnchu/repos","events_url":"https://api.github.com/users/xnchu/events{/privacy}","received_events_url":"https://api.github.com/users/xnchu/received_events","type":"User","site_admin":false},"created_at":"2018-05-12T03:56:36Z","updated_at":"2018-05-12T03:56:36Z","author_association":"NONE","body":"I wonder how to use previously generated X and Y to create new GPyOpt? Is there any example or tutorials? I asked this question because my functions (neural networks) take a long time to run, and whenever GPyOpt stops, I have to re-run the whole process. How to implement the ' create a wrapper to initialize another GPyOpt object using the data in the files. ' as mentioned by javiergonzalezh. Anyone can help please?"}}
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