Are we able to pickle TPOT objects (e.g., TPOTRegressor())?
Context of the issue
I prefer to work with the TPOT object instead of the exported pipeline, since I am accustomed to SKLearn (e.g., using TPOT.predict()). I also do not store my data in csv files, and so it is cumbersome to modify exported pipelines to fit my needs.
As such, I would love to be able to save the object for later use. I do not necessarily need it pickled; I simply need a way to easily save and load the object. I suspect that #152 is addressing this, but I am unsure of the timelines associated with that issue. And for me, that type of solution seems like it would be killing a fly with a bazooka.
Are we able to pickle TPOT objects (e.g.,
TPOTRegressor())?Context of the issue
I prefer to work with the TPOT object instead of the exported pipeline, since I am accustomed to SKLearn (e.g., using
TPOT.predict()). I also do not store my data in csv files, and so it is cumbersome to modify exported pipelines to fit my needs.As such, I would love to be able to save the object for later use. I do not necessarily need it pickled; I simply need a way to easily save and load the object. I suspect that #152 is addressing this, but I am unsure of the timelines associated with that issue. And for me, that type of solution seems like it would be killing a fly with a bazooka.