{"action":"created","issue":{"url":"https://api.github.com/repos/rkcosmos/deepcut/issues/9","repository_url":"https://api.github.com/repos/rkcosmos/deepcut","labels_url":"https://api.github.com/repos/rkcosmos/deepcut/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/rkcosmos/deepcut/issues/9/comments","events_url":"https://api.github.com/repos/rkcosmos/deepcut/issues/9/events","html_url":"https://github.com/rkcosmos/deepcut/issues/9","id":239883217,"number":9,"title":"Using Keras fit_generator to train the model","user":{"login":"titipata","id":8295838,"avatar_url":"https://avatars3.githubusercontent.com/u/8295838?v=3","gravatar_id":"","url":"https://api.github.com/users/titipata","html_url":"https://github.com/titipata","followers_url":"https://api.github.com/users/titipata/followers","following_url":"https://api.github.com/users/titipata/following{/other_user}","gists_url":"https://api.github.com/users/titipata/gists{/gist_id}","starred_url":"https://api.github.com/users/titipata/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/titipata/subscriptions","organizations_url":"https://api.github.com/users/titipata/orgs","repos_url":"https://api.github.com/users/titipata/repos","events_url":"https://api.github.com/users/titipata/events{/privacy}","received_events_url":"https://api.github.com/users/titipata/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":6,"created_at":"2017-06-30T20:38:36Z","updated_at":"2017-07-03T07:06:11Z","closed_at":"2017-07-03T07:06:11Z","body":"It might be useful to use `generator`, see example [here](https://github.com/fchollet/keras/issues/1627) to train the model. \r\n\r\nWe should also add `callback_list` while training e.g. `ModelCheckpoint`, `EarlyStopping`, `ReduceLROnPlateau` to `fit_generator` function in order to save the best model (divide training set into training and development set).\r\n\r\nI can work on it and send the PR over the weekend :)"},"comment":{"url":"https://api.github.com/repos/rkcosmos/deepcut/issues/comments/312565982","html_url":"https://github.com/rkcosmos/deepcut/issues/9#issuecomment-312565982","issue_url":"https://api.github.com/repos/rkcosmos/deepcut/issues/9","id":312565982,"user":{"login":"titipata","id":8295838,"avatar_url":"https://avatars3.githubusercontent.com/u/8295838?v=3","gravatar_id":"","url":"https://api.github.com/users/titipata","html_url":"https://github.com/titipata","followers_url":"https://api.github.com/users/titipata/followers","following_url":"https://api.github.com/users/titipata/following{/other_user}","gists_url":"https://api.github.com/users/titipata/gists{/gist_id}","starred_url":"https://api.github.com/users/titipata/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/titipata/subscriptions","organizations_url":"https://api.github.com/users/titipata/orgs","repos_url":"https://api.github.com/users/titipata/repos","events_url":"https://api.github.com/users/titipata/events{/privacy}","received_events_url":"https://api.github.com/users/titipata/received_events","type":"User","site_admin":false},"created_at":"2017-07-03T07:06:11Z","updated_at":"2017-07-03T07:06:11Z","body":"I think I'll close the issue for now and we can take into account the `fit_generator` later once the training data is much larger (e.g. we want to incorporate Wikipedia). The version that we have currently using `fit` is pretty easy to read."}}
{"actor":{"display_login":"titipata"}}