How do I maintain my machine learning model?

How do I maintain my machine learning model?

Maintaining a machine learning model involves regular monitoring, retraining, and updating the model to ensure accuracy.

What are the signs that my model needs retraining?

Signs include a drop in performance metrics, changes in data distribution, or when new data becomes available.

How often should I retrain my model?

It depends on the application, but a good practice is to evaluate performance regularly, such as monthly or quarterly.

Can I automate the retraining process?

Yes, you can set up automated pipelines using tools like MLflow or Kubeflow to retrain your model based on triggers.