Pedro Ribeiro

The default scoring for TPOTRegressor is 'neg_mean_squared_error'. so tpot.score will return the neg_mean_squared_error. But you are comparing it to mean_absolute_error. If you want to optimize mean absolute error, you can...

what version of tpot are you using? I was able to reproduce the issue in version 0.12.0, but not 0.12.2 (yet). I haven't nailed down exactly what the issue was...

I've come across this error at some point too, but it seems to be working on my machine now. IIRC it was due to a package version issue. Try updating...

you could edit the configuration dictionary in the config file to manually set the random state variable for all estimators that take it. We have a new version of tpot,...

how are you installing tpot? When creating a new environment with anaconda, and installing with pip, I'm able to install the package very quickly with ``` conda create -n myenv...

This could be due to an old version of scikit learn being used. I updated the minimum requirements for TPOT. Try updating your sklearn version to the latest and let...

The stacking estimator is defined here: https://github.com/EpistasisLab/tpot/blob/master/tpot/builtins/stacking_estimator.py effectively, what it does is takes the predictions of the model and appends it to the left of the inputted data X. If...

Thank you for your interest in contributing! We would love to have your help. We have shifted development into our next version, TPOT2. We rewrote the codebase from scratch with...

we have shifted development to TPOT2, which is a refactored version of TPOT1 that is hopefully easier to work with (We will pin something about it to the issues page...

The configuration setup is different in TPOT2. Rather than a single configuration dictionary, TPOT2 takes in three. One for the leaves, roots, and inner nodes. Additionally, we allow multiple configurations...