{"action":"created","issue":{"url":"https://api.github.com/repos/tryolabs/luminoth/issues/226","repository_url":"https://api.github.com/repos/tryolabs/luminoth","labels_url":"https://api.github.com/repos/tryolabs/luminoth/issues/226/labels{/name}","comments_url":"https://api.github.com/repos/tryolabs/luminoth/issues/226/comments","events_url":"https://api.github.com/repos/tryolabs/luminoth/issues/226/events","html_url":"https://github.com/tryolabs/luminoth/issues/226","id":374158209,"node_id":"MDU6SXNzdWUzNzQxNTgyMDk=","number":226,"title":"[Train] Use valid and train data to train model","user":{"login":"jsdussanc","id":7362688,"node_id":"MDQ6VXNlcjczNjI2ODg=","avatar_url":"https://avatars2.githubusercontent.com/u/7362688?v=4","gravatar_id":"","url":"https://api.github.com/users/jsdussanc","html_url":"https://github.com/jsdussanc","followers_url":"https://api.github.com/users/jsdussanc/followers","following_url":"https://api.github.com/users/jsdussanc/following{/other_user}","gists_url":"https://api.github.com/users/jsdussanc/gists{/gist_id}","starred_url":"https://api.github.com/users/jsdussanc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jsdussanc/subscriptions","organizations_url":"https://api.github.com/users/jsdussanc/orgs","repos_url":"https://api.github.com/users/jsdussanc/repos","events_url":"https://api.github.com/users/jsdussanc/events{/privacy}","received_events_url":"https://api.github.com/users/jsdussanc/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-25T22:29:53Z","updated_at":"2018-10-31T14:18:54Z","closed_at":"2018-10-31T14:18:54Z","author_association":"NONE","body":"Why only use a data bank to train the model, it has always been better to use a data bank for training and another for validation to avoid the over-training of the model, why not use it here?"},"comment":{"url":"https://api.github.com/repos/tryolabs/luminoth/issues/comments/434704594","html_url":"https://github.com/tryolabs/luminoth/issues/226#issuecomment-434704594","issue_url":"https://api.github.com/repos/tryolabs/luminoth/issues/226","id":434704594,"node_id":"MDEyOklzc3VlQ29tbWVudDQzNDcwNDU5NA==","user":{"login":"dekked","id":1590959,"node_id":"MDQ6VXNlcjE1OTA5NTk=","avatar_url":"https://avatars1.githubusercontent.com/u/1590959?v=4","gravatar_id":"","url":"https://api.github.com/users/dekked","html_url":"https://github.com/dekked","followers_url":"https://api.github.com/users/dekked/followers","following_url":"https://api.github.com/users/dekked/following{/other_user}","gists_url":"https://api.github.com/users/dekked/gists{/gist_id}","starred_url":"https://api.github.com/users/dekked/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dekked/subscriptions","organizations_url":"https://api.github.com/users/dekked/orgs","repos_url":"https://api.github.com/users/dekked/repos","events_url":"https://api.github.com/users/dekked/events{/privacy}","received_events_url":"https://api.github.com/users/dekked/received_events","type":"User","site_admin":false},"created_at":"2018-10-31T14:18:54Z","updated_at":"2018-10-31T14:18:54Z","author_association":"MEMBER","body":"Hello @jsdussanc!\r\n\r\nWhen you use a dataset, you normally have several 'splits': `train`, `val` and `test`.\r\n\r\nUsing them appropriately is the responsibility of the user. For example, you would use `val` for hyperparameter tuning. The `lumi dataset` tool can convert several splits to tfrecords for using with Luminoth.\r\n\r\nPlease let me know if my answer suffices or if I did not understand your question!"}}
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