{"action":"created","issue":{"url":"https://api.github.com/repos/statsmodels/statsmodels/issues/3191","repository_url":"https://api.github.com/repos/statsmodels/statsmodels","labels_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/3191/labels{/name}","comments_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/3191/comments","events_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/3191/events","html_url":"https://github.com/statsmodels/statsmodels/issues/3191","id":175294104,"node_id":"MDU6SXNzdWUxNzUyOTQxMDQ=","number":3191,"title":"Convergence information being displayed during ARIMA.fit() regardless of disp value","user":{"login":"philipobrien","id":1763813,"node_id":"MDQ6VXNlcjE3NjM4MTM=","avatar_url":"https://avatars1.githubusercontent.com/u/1763813?v=4","gravatar_id":"","url":"https://api.github.com/users/philipobrien","html_url":"https://github.com/philipobrien","followers_url":"https://api.github.com/users/philipobrien/followers","following_url":"https://api.github.com/users/philipobrien/following{/other_user}","gists_url":"https://api.github.com/users/philipobrien/gists{/gist_id}","starred_url":"https://api.github.com/users/philipobrien/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/philipobrien/subscriptions","organizations_url":"https://api.github.com/users/philipobrien/orgs","repos_url":"https://api.github.com/users/philipobrien/repos","events_url":"https://api.github.com/users/philipobrien/events{/privacy}","received_events_url":"https://api.github.com/users/philipobrien/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":8,"created_at":"2016-09-06T16:38:12Z","updated_at":"2018-09-21T14:02:06Z","closed_at":null,"author_association":"NONE","body":"``` python\n>>> sm.version.full_version\n'0.8.0.dev0+bb1db2b'\n```\n\n``` python\narima_model = ARIMA(transformed_data, order=(model_order[0], model_order[1], model_order[2]))\narima_results = arima_model.fit(disp=False)  # or disp=-1\n```\n\n```\nRUNNING THE L-BFGS-B CODE\n\n           * * *\n\nMachine precision = 2.220D-16\n N =            3     M =           10\n This problem is unconstrained.\n\nAt X0         0 variables are exactly at the bounds\n\nAt iterate    0    f=  7.16189D+00    |proj g|=  1.29181D-01\n\nAt iterate    5    f=  7.00504D+00    |proj g|=  1.47562D-03\n\nAt iterate   10    f=  7.00442D+00    |proj g|=  1.79098D-02\n\nAt iterate   15    f=  6.93115D+00    |proj g|=  2.95095D-01\n\nAt iterate   20    f=  6.84326D+00    |proj g|=  7.16658D-04\n\n           * * *\n\nTit   = total number of iterations\nTnf   = total number of function evaluations\nTnint = total number of segments explored during Cauchy searches\nSkip  = number of BFGS updates skipped\nNact  = number of active bounds at final generalized Cauchy point\nProjg = norm of the final projected gradient\nF     = final function value\n\n           * * *\n\n   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n    3     23     25      1     0     0   4.230D-07   6.843D+00\n  F =   6.8432611444769238\n\nCONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL\n\n Cauchy                time 0.000E+00 seconds.\n Subspace minimization time 0.000E+00 seconds.\n Line search           time 0.000E+00 seconds.\n\n Total User time 0.000E+00 seconds.\n```\n"},"comment":{"url":"https://api.github.com/repos/statsmodels/statsmodels/issues/comments/423541627","html_url":"https://github.com/statsmodels/statsmodels/issues/3191#issuecomment-423541627","issue_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/3191","id":423541627,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMzU0MTYyNw==","user":{"login":"josef-pkt","id":440735,"node_id":"MDQ6VXNlcjQ0MDczNQ==","avatar_url":"https://avatars1.githubusercontent.com/u/440735?v=4","gravatar_id":"","url":"https://api.github.com/users/josef-pkt","html_url":"https://github.com/josef-pkt","followers_url":"https://api.github.com/users/josef-pkt/followers","following_url":"https://api.github.com/users/josef-pkt/following{/other_user}","gists_url":"https://api.github.com/users/josef-pkt/gists{/gist_id}","starred_url":"https://api.github.com/users/josef-pkt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/josef-pkt/subscriptions","organizations_url":"https://api.github.com/users/josef-pkt/orgs","repos_url":"https://api.github.com/users/josef-pkt/repos","events_url":"https://api.github.com/users/josef-pkt/events{/privacy}","received_events_url":"https://api.github.com/users/josef-pkt/received_events","type":"User","site_admin":false},"created_at":"2018-09-21T14:02:06Z","updated_at":"2018-09-21T14:02:06Z","author_association":"MEMBER","body":"another issue in @plankthom ARIMA code link is that we don't have in general separate options for preliminary estimation of start_params.\r\n\r\nThose are usually hard coded to no display. In discrete models I introduced a backdoor through an unadvertised (?) extra kwarg `optim_kwds_prelim` which I needed for cases when the preliminary estimator ran into convergence problems, which can also handle disp for the prelim estimator."}}
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