{"action":"closed","issue":{"url":"https://api.github.com/repos/BVLC/caffe/issues/761","labels_url":"https://api.github.com/repos/BVLC/caffe/issues/761/labels{/name}","comments_url":"https://api.github.com/repos/BVLC/caffe/issues/761/comments","events_url":"https://api.github.com/repos/BVLC/caffe/issues/761/events","html_url":"https://github.com/BVLC/caffe/issues/761","id":38429879,"number":761,"title":"Parameter tuning for validation","user":{"login":"sayanghosh","id":5829343,"avatar_url":"https://avatars.githubusercontent.com/u/5829343?v=3","gravatar_id":"","url":"https://api.github.com/users/sayanghosh","html_url":"https://github.com/sayanghosh","followers_url":"https://api.github.com/users/sayanghosh/followers","following_url":"https://api.github.com/users/sayanghosh/following{/other_user}","gists_url":"https://api.github.com/users/sayanghosh/gists{/gist_id}","starred_url":"https://api.github.com/users/sayanghosh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sayanghosh/subscriptions","organizations_url":"https://api.github.com/users/sayanghosh/orgs","repos_url":"https://api.github.com/users/sayanghosh/repos","events_url":"https://api.github.com/users/sayanghosh/events{/privacy}","received_events_url":"https://api.github.com/users/sayanghosh/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":11,"created_at":"2014-07-22T18:37:24Z","updated_at":"2015-05-09T03:29:46Z","closed_at":"2015-05-09T03:29:46Z","body":"Hi, is there an utility bundled with Caffe which takes in as input a grid of parameters, and creates appropriate prototxt files and then trains/tests them on validation data. It is a bit tedious to manually change the train, test and deploy to find the best topology of the net. This would be similar to something like GridSearchCV in scikit-learn.\r\n\r\nIn case this has not been done yet, I might create a shell script/C++ file to handle this and then submit a relevant pull request."}}