{"action":"created","issue":{"url":"https://api.github.com/repos/numenta/nupic.fluent/issues/84","labels_url":"https://api.github.com/repos/numenta/nupic.fluent/issues/84/labels{/name}","comments_url":"https://api.github.com/repos/numenta/nupic.fluent/issues/84/comments","events_url":"https://api.github.com/repos/numenta/nupic.fluent/issues/84/events","html_url":"https://github.com/numenta/nupic.fluent/pull/84","id":92485622,"number":84,"title":"Plotting tools to visualize the accuracy of a class at a training set size","user":{"login":"akhilaananthram","id":5855832,"avatar_url":"https://avatars.githubusercontent.com/u/5855832?v=3","gravatar_id":"","url":"https://api.github.com/users/akhilaananthram","html_url":"https://github.com/akhilaananthram","followers_url":"https://api.github.com/users/akhilaananthram/followers","following_url":"https://api.github.com/users/akhilaananthram/following{/other_user}","gists_url":"https://api.github.com/users/akhilaananthram/gists{/gist_id}","starred_url":"https://api.github.com/users/akhilaananthram/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/akhilaananthram/subscriptions","organizations_url":"https://api.github.com/users/akhilaananthram/orgs","repos_url":"https://api.github.com/users/akhilaananthram/repos","events_url":"https://api.github.com/users/akhilaananthram/events{/privacy}","received_events_url":"https://api.github.com/users/akhilaananthram/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2015-07-01T21:08:11Z","updated_at":"2015-07-02T22:23:50Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/numenta/nupic.fluent/pulls/84","html_url":"https://github.com/numenta/nupic.fluent/pull/84","diff_url":"https://github.com/numenta/nupic.fluent/pull/84.diff","patch_url":"https://github.com/numenta/nupic.fluent/pull/84.patch"},"body":"Now experiment.py will create two graphs.  The first is a bunch of subplots for each training set size with the accuracy of a certain class and its variance.  The second is a combination of those subplots all in one graph.\r\n\r\n@BoltzmannBrain "},"comment":{"url":"https://api.github.com/repos/numenta/nupic.fluent/issues/comments/118184015","html_url":"https://github.com/numenta/nupic.fluent/pull/84#issuecomment-118184015","issue_url":"https://api.github.com/repos/numenta/nupic.fluent/issues/84","id":118184015,"user":{"login":"akhilaananthram","id":5855832,"avatar_url":"https://avatars.githubusercontent.com/u/5855832?v=3","gravatar_id":"","url":"https://api.github.com/users/akhilaananthram","html_url":"https://github.com/akhilaananthram","followers_url":"https://api.github.com/users/akhilaananthram/followers","following_url":"https://api.github.com/users/akhilaananthram/following{/other_user}","gists_url":"https://api.github.com/users/akhilaananthram/gists{/gist_id}","starred_url":"https://api.github.com/users/akhilaananthram/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/akhilaananthram/subscriptions","organizations_url":"https://api.github.com/users/akhilaananthram/orgs","repos_url":"https://api.github.com/users/akhilaananthram/repos","events_url":"https://api.github.com/users/akhilaananthram/events{/privacy}","received_events_url":"https://api.github.com/users/akhilaananthram/received_events","type":"User","site_admin":false},"created_at":"2015-07-02T22:23:50Z","updated_at":"2015-07-02T22:23:50Z","body":"So you want an integration test to test calculateClassificationResults? not a unit test?"}}