What are some effective tools for monitoring machine learning models?
There are several great tools for monitoring ML models, such as Prometheus, Grafana, and MLflow. Would you like to know more about any specific tool?
Can you explain how Grafana works for monitoring?
Grafana is a visualization tool that integrates with various data sources. It allows you to create dashboards to monitor metrics in real-time.
What metrics should I monitor in my ML models?
You should monitor metrics like accuracy, precision, recall, F1 score, and model drift to ensure your models perform well.
Are there any open-source options for ML monitoring?
Yes, tools like TensorBoard, MLflow, and Seldon Core are open-source options that provide robust monitoring capabilities.
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