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Published 20 hours ago • verified publisher icon neurodata

Full sklearn compliance

Open falkben opened this issue 5 years ago • 4 comments

So that it passes the estimator test.

First thing to do is to make the model pickleable.

falkben avatar May 06 '19 22:05 falkben

Hi @falkben was there ever any update on pickling the forest classifiers to be ran through something like joblib?

adam2392 avatar Feb 23 '21 17:02 adam2392

No, I'm sorry, I don't have an update on that. My guess is that it won't work with joblib's dump method. Have you tried it?

falkben avatar Feb 23 '21 19:02 falkben

@falkben I tried to pickle it with joblib and pickle libraries but it was not working, its showing an error like this TypeError: cannot pickle 'pyfp.fpForest' object So can u suggest me how can i save this method? Is there any way to do that?

pepetikesavasiddhardha avatar Jul 04 '23 16:07 pepetikesavasiddhardha

@pepetikesavasiddhardha currently the tree models are implemented inline with sklearn in https://github.com/neurodata/scikit-tree

adam2392 avatar Jul 05 '23 15:07 adam2392