You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Stores a version of the OpenMLRun object to disk (either pickle or using the run.xml, predictions.arff and trace.arff. The later is probably better but requires engineering when extending the supported task types )
Do you want runs to be cached when a user downloads them or should they be saved to disk when a user locally creates a run by calling run_model_on_task? The outcome of the latter one can be stored by the user manually and I'm not sure if openml-python should automatically do this.
I am talking about the latter. I agree that openml-python should not automatically do this, but we could offer a convenience function, as this is something that I do in many of my projects (and it makes more sense to have this someplace central)
Activity
[-]Store run to disk[/-][+]Store run to disk fn[/+]mfeurer commentedon Mar 19, 2018
Do you want runs to be cached when a user downloads them or should they be saved to disk when a user locally creates a run by calling
run_model_on_task? The outcome of the latter one can be stored by the user manually and I'm not sure if openml-python should automatically do this.janvanrijn commentedon Mar 19, 2018
I am talking about the latter. I agree that openml-python should not automatically do this, but we could offer a convenience function, as this is something that I do in many of my projects (and it makes more sense to have this someplace central)
mfeurer commentedon Jun 14, 2018
@janvanrijn can this be closed due to #459?
janvanrijn commentedon Jun 14, 2018
No. #459 actually introduced a bug (due to a bug in liac arff) and a new pr (waiting for review) intends to kind of solve this
ADD unit test for issue #422
Unit test and fix for #422 (#481)
mfeurer commentedon Feb 25, 2019
Closing this as it appears to be added. Please reopen @janvanrijn if that's not correct.
janvanrijn commentedon Feb 25, 2019
You are correct.