{"action":"opened","issue":{"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/2253","repository_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j","labels_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/2253/labels{/name}","comments_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/2253/comments","events_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/2253/events","html_url":"https://github.com/deeplearning4j/deeplearning4j/issues/2253","id":186269011,"number":2253,"title":"RegressionEvaluation - add convenience method to MultiLayerNetwork","user":{"login":"AlexDBlack","id":2360237,"avatar_url":"https://avatars.githubusercontent.com/u/2360237?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexDBlack","html_url":"https://github.com/AlexDBlack","followers_url":"https://api.github.com/users/AlexDBlack/followers","following_url":"https://api.github.com/users/AlexDBlack/following{/other_user}","gists_url":"https://api.github.com/users/AlexDBlack/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexDBlack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexDBlack/subscriptions","organizations_url":"https://api.github.com/users/AlexDBlack/orgs","repos_url":"https://api.github.com/users/AlexDBlack/repos","events_url":"https://api.github.com/users/AlexDBlack/events{/privacy}","received_events_url":"https://api.github.com/users/AlexDBlack/received_events","type":"User","site_admin":false},"labels":[{"id":67901001,"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/labels/enhancement","name":"enhancement","color":"000080","default":true}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-31T12:12:48Z","updated_at":"2016-10-31T12:12:48Z","closed_at":null,"body":"MultiLayerNetwork.evaluate(DataSetIterator) is a thing. But there's nothing equivalent for RegressionEvaluation. This should be added."}}
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