Auto-Save function about gplearn HOT 3 OPEN

You could generate this functionality within a simple loop by combining warm starting with pickling

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Thank you. Yes you are right. Could have had the idea myself….

However one question: if I reload a previously trained SybolicRegressor and evolve with warm_start further generations, I observed that it displays very high ‚population average fitness’ values (>10^20), whereas the best individual values for fitness continue around where the previous training round finished. Is it just a matter of display, or because the old population averages are not saved with the model …. ?
Please excuse if my question is naive or ignorant.
If this values are just abmattet of display, then your proposal is actually the one will do. Thx

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If you can provide a short self contained example with a toy dataset I can look into it. I'm not familiar with the issue.

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