How to tune the model? - Githubissues

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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How to tune the model? #63

Closed nithinreddyy closed 2 years ago

nithinreddyy commented 3 years ago

Hey Ram, i have one doubt. Is there any example or notebook to show how to tune the auto-ts model? Like we have tune option in pycaret, do we have any in auto-ts?

AutoViML commented 2 years ago

Hi @nithinreddyy 👍 Once you get the ML model from Auto_TS, you can create your own GridSearchCV params and tune it. Currently there are no easy ways to tune a Dask XGBoost model which is what I am using right now. If things change, I will let you know

In the meantime, Please do the upgrade to the latest version with DASK by: pip install auto-ts --upgrade

Please confirm that fixes the problem. Thanks Auto_ViML