Pedro Ribeiro

Has the latest update resolved your issue? Should be working with the latest version of scikit-learn now

This error can happen when you have only one sample for a class. Since the stratifiedkfold doesn't repeat samples, there could be a fold without examples for a particular class....

The short answer is no. TPOT only fits the pareto front models (including the best model) to the full training set. TPOT does not save the fitted models for each...

I would recommend trying out TPOT2, the next version of TPOT. You can find it here: https://github.com/EpistasisLab/tpot2 This version is more stable with larger datasets compared to TPOT1. There is...

This is supported in the new version of TPOT that we are working on. Found here: https://github.com/EpistasisLab/tpot2 You can pass a list of scorers to the "scorers" param. Right now,...

This opens correctly for me on my machine. What versions of tpot and Jupyter are you using? Perhaps a clean install with a new environment will resolve this issue.

The 'arity' error is due to a bug in the TPOT mutation function. I implemented a fix in this pull request https://github.com/EpistasisLab/tpot/pull/1268 The other errors are due to invalid hyperparameters...

The manual pipeline is not exactly identical to the TPOT output. It is missing the Binarizer step. Also, TPOT wraps internal classifiers in a StackingEstimator. This will pass through its...

I tested this and it is working correctly on linux on my machine. I am not sure why it is producing a different output on your machine... when you get...

I haven't used MLFlow, is there an error you are getting that prevents TPOT from working?