{"action":"opened","issue":{"url":"https://api.github.com/repos/ClimbsRocks/machineJS/issues/108","labels_url":"https://api.github.com/repos/ClimbsRocks/machineJS/issues/108/labels{/name}","comments_url":"https://api.github.com/repos/ClimbsRocks/machineJS/issues/108/comments","events_url":"https://api.github.com/repos/ClimbsRocks/machineJS/issues/108/events","html_url":"https://github.com/ClimbsRocks/machineJS/issues/108","id":117620795,"number":108,"title":"only train an algo if it has done alright the first few times","user":{"login":"ClimbsRocks","id":7017045,"avatar_url":"https://avatars.githubusercontent.com/u/7017045?v=3","gravatar_id":"","url":"https://api.github.com/users/ClimbsRocks","html_url":"https://github.com/ClimbsRocks","followers_url":"https://api.github.com/users/ClimbsRocks/followers","following_url":"https://api.github.com/users/ClimbsRocks/following{/other_user}","gists_url":"https://api.github.com/users/ClimbsRocks/gists{/gist_id}","starred_url":"https://api.github.com/users/ClimbsRocks/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ClimbsRocks/subscriptions","organizations_url":"https://api.github.com/users/ClimbsRocks/orgs","repos_url":"https://api.github.com/users/ClimbsRocks/repos","events_url":"https://api.github.com/users/ClimbsRocks/events{/privacy}","received_events_url":"https://api.github.com/users/ClimbsRocks/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-11-18T16:11:28Z","updated_at":"2015-11-18T16:11:28Z","closed_at":null,"body":"part of the goal is to do a search over the possible algorithms and figure out which algorithm is most effective here. \r\n\r\nrun each algorithm 3 times. \r\n\r\nif by the end of the third run our best score for that algo is some large percentage worse than our best algo (validation score), don't train any more of them!\r\n\r\nwe can check this each time right before we start up a new algo. and ideally, as soon as we find out that an algo has failed us, we remove all instances of it from the list. "}}