{"action":"created","issue":{"url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/22","repository_url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn","labels_url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/22/labels{/name}","comments_url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/22/comments","events_url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/22/events","html_url":"https://github.com/ag-csw/LDStreamHMMLearn/issues/22","id":188782168,"number":22,"title":"Investigate performance comparison of naive and bayes methods for MM estimation","user":{"login":"greenTara","id":1248341,"avatar_url":"https://avatars.githubusercontent.com/u/1248341?v=3","gravatar_id":"","url":"https://api.github.com/users/greenTara","html_url":"https://github.com/greenTara","followers_url":"https://api.github.com/users/greenTara/followers","following_url":"https://api.github.com/users/greenTara/following{/other_user}","gists_url":"https://api.github.com/users/greenTara/gists{/gist_id}","starred_url":"https://api.github.com/users/greenTara/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/greenTara/subscriptions","organizations_url":"https://api.github.com/users/greenTara/orgs","repos_url":"https://api.github.com/users/greenTara/repos","events_url":"https://api.github.com/users/greenTara/events{/privacy}","received_events_url":"https://api.github.com/users/greenTara/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-11-11T15:19:01Z","updated_at":"2016-11-11T15:22:09Z","closed_at":null,"body":" I would like to change the calculation of performance time to be more inclusive, since we have been getting the rather surprising result that naïve and bayes performance are the same. So the lines for setting t0 and t1 should be moved (up and down, respectively) so that we are capturing more of the process.\r\n\r\nI am thinking it might be more reliable if we have separate for loops for the naïve and bayes calculations, and we get the vector of times by sampling once for each pass through the loop."},"comment":{"url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/comments/259980280","html_url":"https://github.com/ag-csw/LDStreamHMMLearn/issues/22#issuecomment-259980280","issue_url":"https://api.github.com/repos/ag-csw/LDStreamHMMLearn/issues/22","id":259980280,"user":{"login":"greenTara","id":1248341,"avatar_url":"https://avatars.githubusercontent.com/u/1248341?v=3","gravatar_id":"","url":"https://api.github.com/users/greenTara","html_url":"https://github.com/greenTara","followers_url":"https://api.github.com/users/greenTara/followers","following_url":"https://api.github.com/users/greenTara/following{/other_user}","gists_url":"https://api.github.com/users/greenTara/gists{/gist_id}","starred_url":"https://api.github.com/users/greenTara/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/greenTara/subscriptions","organizations_url":"https://api.github.com/users/greenTara/orgs","repos_url":"https://api.github.com/users/greenTara/repos","events_url":"https://api.github.com/users/greenTara/events{/privacy}","received_events_url":"https://api.github.com/users/greenTara/received_events","type":"User","site_admin":false},"created_at":"2016-11-11T15:22:09Z","updated_at":"2016-11-11T15:22:09Z","body":"Option 1. Split performance_and_evaluation method into two methods, one for naive and one for bayes."}}
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