{"action":"opened","issue":{"url":"https://api.github.com/repos/demarley/goldilocks/issues/1","repository_url":"https://api.github.com/repos/demarley/goldilocks","labels_url":"https://api.github.com/repos/demarley/goldilocks/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/demarley/goldilocks/issues/1/comments","events_url":"https://api.github.com/repos/demarley/goldilocks/issues/1/events","html_url":"https://github.com/demarley/goldilocks/issues/1","id":327113277,"number":1,"title":"Producer/Analyzer","user":{"login":"demarley","id":16404308,"avatar_url":"https://avatars0.githubusercontent.com/u/16404308?v=4","gravatar_id":"","url":"https://api.github.com/users/demarley","html_url":"https://github.com/demarley","followers_url":"https://api.github.com/users/demarley/followers","following_url":"https://api.github.com/users/demarley/following{/other_user}","gists_url":"https://api.github.com/users/demarley/gists{/gist_id}","starred_url":"https://api.github.com/users/demarley/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/demarley/subscriptions","organizations_url":"https://api.github.com/users/demarley/orgs","repos_url":"https://api.github.com/users/demarley/repos","events_url":"https://api.github.com/users/demarley/events{/privacy}","received_events_url":"https://api.github.com/users/demarley/received_events","type":"User","site_admin":false},"labels":[{"id":946745302,"url":"https://api.github.com/repos/demarley/goldilocks/labels/Priority:%20Low","name":"Priority: Low","color":"00E000","default":false},{"id":946745633,"url":"https://api.github.com/repos/demarley/goldilocks/labels/Status:%20Open","name":"Status: Open","color":"c5def5","default":false},{"id":946686259,"url":"https://api.github.com/repos/demarley/goldilocks/labels/Type:%20Enhancement","name":"Type: Enhancement","color":"15aa12","default":false}],"state":"open","locked":false,"assignee":{"login":"demarley","id":16404308,"avatar_url":"https://avatars0.githubusercontent.com/u/16404308?v=4","gravatar_id":"","url":"https://api.github.com/users/demarley","html_url":"https://github.com/demarley","followers_url":"https://api.github.com/users/demarley/followers","following_url":"https://api.github.com/users/demarley/following{/other_user}","gists_url":"https://api.github.com/users/demarley/gists{/gist_id}","starred_url":"https://api.github.com/users/demarley/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/demarley/subscriptions","organizations_url":"https://api.github.com/users/demarley/orgs","repos_url":"https://api.github.com/users/demarley/repos","events_url":"https://api.github.com/users/demarley/events{/privacy}","received_events_url":"https://api.github.com/users/demarley/received_events","type":"User","site_admin":false},"assignees":[{"login":"demarley","id":16404308,"avatar_url":"https://avatars0.githubusercontent.com/u/16404308?v=4","gravatar_id":"","url":"https://api.github.com/users/demarley","html_url":"https://github.com/demarley","followers_url":"https://api.github.com/users/demarley/followers","following_url":"https://api.github.com/users/demarley/following{/other_user}","gists_url":"https://api.github.com/users/demarley/gists{/gist_id}","starred_url":"https://api.github.com/users/demarley/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/demarley/subscriptions","organizations_url":"https://api.github.com/users/demarley/orgs","repos_url":"https://api.github.com/users/demarley/repos","events_url":"https://api.github.com/users/demarley/events{/privacy}","received_events_url":"https://api.github.com/users/demarley/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-05-28T20:37:34Z","updated_at":"2018-05-28T20:37:34Z","closed_at":null,"author_association":"OWNER","body":"Modify the framework to incorporate the Producer/Analyzer model.  \r\nThis way, in the CMSSW framework, a user can simply call the Producer then the Analyzer to obtain results on the semi-merged top tagger.  \r\nIf they do not want to do inference, they can run the Producer and then use the output to run their own training.\r\n\r\n### Producer:\r\n- Generate top candidates (AK8+AK4) with all information necessary for the deep learning training and inference\r\n- If the sample is ttbar, match generator-level partons to jets for classification purposes\r\n\r\n### Analyzer\r\n- Perform inference using the objects created by the Producer"}}
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