Revision history [back]

There are several steps you can take to resolve the issue of "FitFailedWarning" in a machine learning model:

1. Check the input data: Make sure the input data is correct, clean, and properly formatted. Check for any missing or incorrect values and handle them appropriately.

2. Adjust hyperparameters: The warning may indicate that the current hyperparameters are not suitable for the model. Try adjusting the hyperparameters and see if it resolves the issue.

3. Increase dataset size: Try increasing the dataset size to improve the accuracy of the model.

4. Change the model architecture: Depending on the problem at hand, you might need to change your model architecture. Try a different model or change the existing model’s architecture.

5. Debug the code: Debug the model code to identify any errors that may be causing the warning.

6. Consult with experts: If none of the above solutions work, it might be helpful to consult with experts in the field or seek guidance from online forums or community groups.