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# statsforecasts
Slackbot
11/03/2023, 4:33 PMThis message was deleted.
j
José Morales
11/03/2023, 4:40 PMHey. This was merged recently and hasn't been released. You can install from github if you want to use those methods or you can just use pickle/cloudpickle on the object:
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import pickle
with open('your_model.pkl', 'wb') as f:
pickle.dump(model, f)t
Toni Borders
11/03/2023, 4:41 PMAhhh thanks for the speedy reply!
Toni Borders
11/03/2023, 4:41 PMDoes that go for StatsForecast.plot as well?
Toni Borders
11/03/2023, 4:42 PMAs that doesn’t do anything when I call it.
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StatsForecast.plot(panel_df, df)j
José Morales
11/03/2023, 4:42 PMNo, that has been there for several versions, you should be able to use it. The default engine in 1.6 is matplotlib, are you using jupyter notebooks?
t
Toni Borders
11/03/2023, 4:43 PMNo I running directly from a .py script in Pycharm
Toni Borders
11/03/2023, 4:44 PMI thought I read that the default plotting engine is plotly, is this incorrect? That could be the issue, I don’t have matplotlib installed
Toni Borders
11/03/2023, 4:50 PMNow I have installed matplotlib but it still isn’t working.
j
José Morales
11/03/2023, 4:50 PMIn 1.6 is matplotlib. You probably need to save the figure or do something with it. I don't think it's shown from a script
t
Toni Borders
11/03/2023, 4:52 PMok no worries I will figure it out.
Toni Borders
11/03/2023, 4:55 PMFYI, I saved the fig and can now see it, in case anyone else has the same question.
👍 2
Toni Borders
11/03/2023, 4:56 PM Copy code
x = StatsForecast.plot(panel_df)
x.savefig('testfig.png')j
José Morales
11/14/2023, 3:40 PMWe're going to make a release in the following weeks. In the meantime you can install from github, I'm not sure how to set it for poetry but you might be able to specify your requirements like
git+<https://github.com/Nixtla/statsforecast|https://github.com/Nixtla/statsforecast>r
Ramon Botella Nieto
11/14/2023, 3:46 PMThanx!
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