{"action":"created","issue":{"url":"https://api.github.com/repos/pgmpy/pgmpy/issues/422","labels_url":"https://api.github.com/repos/pgmpy/pgmpy/issues/422/labels{/name}","comments_url":"https://api.github.com/repos/pgmpy/pgmpy/issues/422/comments","events_url":"https://api.github.com/repos/pgmpy/pgmpy/issues/422/events","html_url":"https://github.com/pgmpy/pgmpy/pull/422","id":88868830,"number":422,"title":"Markov Chain Monte Carlo","user":{"login":"pratyakshs","id":4117104,"avatar_url":"https://avatars.githubusercontent.com/u/4117104?v=3","gravatar_id":"","url":"https://api.github.com/users/pratyakshs","html_url":"https://github.com/pratyakshs","followers_url":"https://api.github.com/users/pratyakshs/followers","following_url":"https://api.github.com/users/pratyakshs/following{/other_user}","gists_url":"https://api.github.com/users/pratyakshs/gists{/gist_id}","starred_url":"https://api.github.com/users/pratyakshs/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pratyakshs/subscriptions","organizations_url":"https://api.github.com/users/pratyakshs/orgs","repos_url":"https://api.github.com/users/pratyakshs/repos","events_url":"https://api.github.com/users/pratyakshs/events{/privacy}","received_events_url":"https://api.github.com/users/pratyakshs/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":9,"created_at":"2015-06-16T23:49:27Z","updated_at":"2015-06-26T03:00:29Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/pgmpy/pgmpy/pulls/422","html_url":"https://github.com/pgmpy/pgmpy/pull/422","diff_url":"https://github.com/pgmpy/pgmpy/pull/422.diff","patch_url":"https://github.com/pgmpy/pgmpy/pull/422.patch"},"body":"~~I'm still working on this, isn't ready to be merged~~"},"comment":{"url":"https://api.github.com/repos/pgmpy/pgmpy/issues/comments/115481064","html_url":"https://github.com/pgmpy/pgmpy/pull/422#issuecomment-115481064","issue_url":"https://api.github.com/repos/pgmpy/pgmpy/issues/422","id":115481064,"user":{"login":"ankurankan","id":1461453,"avatar_url":"https://avatars.githubusercontent.com/u/1461453?v=3","gravatar_id":"","url":"https://api.github.com/users/ankurankan","html_url":"https://github.com/ankurankan","followers_url":"https://api.github.com/users/ankurankan/followers","following_url":"https://api.github.com/users/ankurankan/following{/other_user}","gists_url":"https://api.github.com/users/ankurankan/gists{/gist_id}","starred_url":"https://api.github.com/users/ankurankan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ankurankan/subscriptions","organizations_url":"https://api.github.com/users/ankurankan/orgs","repos_url":"https://api.github.com/users/ankurankan/repos","events_url":"https://api.github.com/users/ankurankan/events{/privacy}","received_events_url":"https://api.github.com/users/ankurankan/received_events","type":"User","site_admin":false},"created_at":"2015-06-26T03:00:29Z","updated_at":"2015-06-26T03:00:29Z","body":"@pratyakshs I think this implementation is just for the case when you have a single kernel. What about the case when we would be having multiple kernels ? Since we will need it for sampling from models.\r\n"}}