{"action":"created","issue":{"url":"https://api.github.com/repos/produvia/ai-platform/issues/1","repository_url":"https://api.github.com/repos/produvia/ai-platform","labels_url":"https://api.github.com/repos/produvia/ai-platform/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/produvia/ai-platform/issues/1/comments","events_url":"https://api.github.com/repos/produvia/ai-platform/issues/1/events","html_url":"https://github.com/produvia/ai-platform/pull/1","id":456288053,"node_id":"MDExOlB1bGxSZXF1ZXN0Mjg4MzYyNTUw","number":1,"title":"Implement object detection task","user":{"login":"lucky-singh","id":9303015,"node_id":"MDQ6VXNlcjkzMDMwMTU=","avatar_url":"https://avatars3.githubusercontent.com/u/9303015?v=4","gravatar_id":"","url":"https://api.github.com/users/lucky-singh","html_url":"https://github.com/lucky-singh","followers_url":"https://api.github.com/users/lucky-singh/followers","following_url":"https://api.github.com/users/lucky-singh/following{/other_user}","gists_url":"https://api.github.com/users/lucky-singh/gists{/gist_id}","starred_url":"https://api.github.com/users/lucky-singh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lucky-singh/subscriptions","organizations_url":"https://api.github.com/users/lucky-singh/orgs","repos_url":"https://api.github.com/users/lucky-singh/repos","events_url":"https://api.github.com/users/lucky-singh/events{/privacy}","received_events_url":"https://api.github.com/users/lucky-singh/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2019-06-14T14:49:06Z","updated_at":"2019-06-18T17:44:01Z","closed_at":"2019-06-14T22:23:05Z","author_association":"CONTRIBUTOR","pull_request":{"url":"https://api.github.com/repos/produvia/ai-platform/pulls/1","html_url":"https://github.com/produvia/ai-platform/pull/1","diff_url":"https://github.com/produvia/ai-platform/pull/1.diff","patch_url":"https://github.com/produvia/ai-platform/pull/1.patch"},"body":"Object detection service implementation as per my initial understanding."},"comment":{"url":"https://api.github.com/repos/produvia/ai-platform/issues/comments/503239674","html_url":"https://github.com/produvia/ai-platform/pull/1#issuecomment-503239674","issue_url":"https://api.github.com/repos/produvia/ai-platform/issues/1","id":503239674,"node_id":"MDEyOklzc3VlQ29tbWVudDUwMzIzOTY3NA==","user":{"login":"lucky-singh","id":9303015,"node_id":"MDQ6VXNlcjkzMDMwMTU=","avatar_url":"https://avatars3.githubusercontent.com/u/9303015?v=4","gravatar_id":"","url":"https://api.github.com/users/lucky-singh","html_url":"https://github.com/lucky-singh","followers_url":"https://api.github.com/users/lucky-singh/followers","following_url":"https://api.github.com/users/lucky-singh/following{/other_user}","gists_url":"https://api.github.com/users/lucky-singh/gists{/gist_id}","starred_url":"https://api.github.com/users/lucky-singh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lucky-singh/subscriptions","organizations_url":"https://api.github.com/users/lucky-singh/orgs","repos_url":"https://api.github.com/users/lucky-singh/repos","events_url":"https://api.github.com/users/lucky-singh/events{/privacy}","received_events_url":"https://api.github.com/users/lucky-singh/received_events","type":"User","site_admin":false},"created_at":"2019-06-18T17:44:01Z","updated_at":"2019-06-18T17:44:01Z","author_association":"CONTRIBUTOR","body":"@slavakurilyak , I am looking into [MLflow- MLproject](https://github.com/mlflow/mlflow/blob/master/examples/pytorch/MLproject) and [ludwig - model_definition](https://uber.github.io/ludwig/examples/#simple-regression-fuel-efficiency-prediction) files and both seems to have similar information for inputs. However MLflow is disigned to work without registering inputs into MLproject and I couldn't find any example where outputs are specified.\r\n\r\nShould I be focusing on writing a seperate yaml file and use it as inputs and outputs in mlflow run program? Or should I be focusing on parsing these files and create an artifact file with the desired details. I think second opton will keep MLflow project consistent and seperate YAML file will give ease of visibility. Please let me know your thoughs."}}
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