{"action":"closed","issue":{"url":"https://api.github.com/repos/baccuslab/deep-retina/issues/13","repository_url":"https://api.github.com/repos/baccuslab/deep-retina","labels_url":"https://api.github.com/repos/baccuslab/deep-retina/issues/13/labels{/name}","comments_url":"https://api.github.com/repos/baccuslab/deep-retina/issues/13/comments","events_url":"https://api.github.com/repos/baccuslab/deep-retina/issues/13/events","html_url":"https://github.com/baccuslab/deep-retina/issues/13","id":324515380,"number":13,"title":"Data Normalization Error?","user":{"login":"djaroslawicz","id":13531436,"avatar_url":"https://avatars0.githubusercontent.com/u/13531436?v=4","gravatar_id":"","url":"https://api.github.com/users/djaroslawicz","html_url":"https://github.com/djaroslawicz","followers_url":"https://api.github.com/users/djaroslawicz/followers","following_url":"https://api.github.com/users/djaroslawicz/following{/other_user}","gists_url":"https://api.github.com/users/djaroslawicz/gists{/gist_id}","starred_url":"https://api.github.com/users/djaroslawicz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/djaroslawicz/subscriptions","organizations_url":"https://api.github.com/users/djaroslawicz/orgs","repos_url":"https://api.github.com/users/djaroslawicz/repos","events_url":"https://api.github.com/users/djaroslawicz/events{/privacy}","received_events_url":"https://api.github.com/users/djaroslawicz/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-05-18T18:49:31Z","updated_at":"2018-05-18T19:18:40Z","closed_at":"2018-05-18T19:18:40Z","author_association":"NONE","body":"Hello,\r\n\r\nIn experiments.py (line 78/80) you normalize the experiment data immediately upon loading it. Shouldn't you first split the data into train and validation sets before calculating normalization statistics?\r\n\r\nBest,\r\nDaniel"}}
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