Hi, It's easy to write a meta-estimator and store it. You can write one for yourself in a few lines of code. This might help: https://github.com/adrinjalali/talks/blob/master/2022/sklearn-estimator-ODSC/custom_estimators_solved.ipynb
On Thu, Nov 10, 2022 at 8:30 PM Fernando Marcos Wittmann < fernando.wittm...@gmail.com> wrote: > Hello, > > I'm dealing with a problem without much data. As a solution, I'm training > 10 estimators using a 10-Fold CV-Schema. Now, I wanted to persist those > models. In order to avoid having to save 10 estimators, I was thinking > about saving a single VotingRegressor with those pre-trained models or > maybe writing a custom estimator to be used only for inference. Has anyone > dealt with similar problems? > > TLDR: Looking for an easy way to store multiple models created using > cross-validation as a single model. > > More context: I'll be using mlflow sklearn autolog, so it will be waaay > more convenient to log only a single model instead of multiple models in > each experiment. > > Thanks! > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
