Closed conradtan closed 2 years ago
Hi @conradtan 👍 I have upgraded the ML model to now do hyper parameter tuning with XGBoost parameters and it seems to prduce much better results than before. It also returns a highly tuned model. Take a look and let me know.
pip install auto_ts --upgrade
Hope this helps AutoViML
Hi after running using 'best', have received the below message: "Maximum number of iterations hit, may not be at an optima"
Is there a way to trigger a final run using the best model, or at least passing explicitly, while specifying a larger number of iterations to tune? Currently seems too short.