How can I automate model retraining for my machine learning project?
You can automate model retraining by setting up a pipeline that triggers retraining based on new data or performance metrics.
What tools or frameworks can I use for this automation?
Popular tools include Apache Airflow, Kubeflow, and MLflow, which help manage workflows and model lifecycle.
How do I handle data drift during retraining?
You can monitor model performance and data distributions, and retrain the model when significant drift is detected.
Can I schedule retraining at specific intervals?
Yes, you can schedule retraining using cron jobs or workflow orchestration tools to run at defined intervals.
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