Control Iterations for a final run on best model

AutoViML / Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Apache License 2.0

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Control Iterations for a final run on best model #61

Closed conradtan closed 2 years ago

conradtan commented 3 years ago

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.

AutoViML commented 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