{"action":"created","issue":{"url":"https://api.github.com/repos/philipperemy/n-beats/issues/2","repository_url":"https://api.github.com/repos/philipperemy/n-beats","labels_url":"https://api.github.com/repos/philipperemy/n-beats/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/philipperemy/n-beats/issues/2/comments","events_url":"https://api.github.com/repos/philipperemy/n-beats/issues/2/events","html_url":"https://github.com/philipperemy/n-beats/issues/2","id":462325226,"node_id":"MDU6SXNzdWU0NjIzMjUyMjY=","number":2,"title":"mae and mse loss definitions should use tf.reduce_mean","user":{"login":"abhinav-upadhyay","id":328300,"node_id":"MDQ6VXNlcjMyODMwMA==","avatar_url":"https://avatars2.githubusercontent.com/u/328300?v=4","gravatar_id":"","url":"https://api.github.com/users/abhinav-upadhyay","html_url":"https://github.com/abhinav-upadhyay","followers_url":"https://api.github.com/users/abhinav-upadhyay/followers","following_url":"https://api.github.com/users/abhinav-upadhyay/following{/other_user}","gists_url":"https://api.github.com/users/abhinav-upadhyay/gists{/gist_id}","starred_url":"https://api.github.com/users/abhinav-upadhyay/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/abhinav-upadhyay/subscriptions","organizations_url":"https://api.github.com/users/abhinav-upadhyay/orgs","repos_url":"https://api.github.com/users/abhinav-upadhyay/repos","events_url":"https://api.github.com/users/abhinav-upadhyay/events{/privacy}","received_events_url":"https://api.github.com/users/abhinav-upadhyay/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2019-06-29T17:58:48Z","updated_at":"2019-07-04T11:45:43Z","closed_at":"2019-07-03T05:23:07Z","author_association":"NONE","body":"Hi\r\n\r\nThe `mae` and `mse` definitions in `model.py` use `tf.reduce_sum`, shouldn't they use `tf.reduce_mean`?"},"comment":{"url":"https://api.github.com/repos/philipperemy/n-beats/issues/comments/508453206","html_url":"https://github.com/philipperemy/n-beats/issues/2#issuecomment-508453206","issue_url":"https://api.github.com/repos/philipperemy/n-beats/issues/2","id":508453206,"node_id":"MDEyOklzc3VlQ29tbWVudDUwODQ1MzIwNg==","user":{"login":"abhinav-upadhyay","id":328300,"node_id":"MDQ6VXNlcjMyODMwMA==","avatar_url":"https://avatars2.githubusercontent.com/u/328300?v=4","gravatar_id":"","url":"https://api.github.com/users/abhinav-upadhyay","html_url":"https://github.com/abhinav-upadhyay","followers_url":"https://api.github.com/users/abhinav-upadhyay/followers","following_url":"https://api.github.com/users/abhinav-upadhyay/following{/other_user}","gists_url":"https://api.github.com/users/abhinav-upadhyay/gists{/gist_id}","starred_url":"https://api.github.com/users/abhinav-upadhyay/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/abhinav-upadhyay/subscriptions","organizations_url":"https://api.github.com/users/abhinav-upadhyay/orgs","repos_url":"https://api.github.com/users/abhinav-upadhyay/repos","events_url":"https://api.github.com/users/abhinav-upadhyay/events{/privacy}","received_events_url":"https://api.github.com/users/abhinav-upadhyay/received_events","type":"User","site_admin":false},"created_at":"2019-07-04T11:45:43Z","updated_at":"2019-07-04T11:45:43Z","author_association":"NONE","body":"Thanks :)"}}
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