hops-monitoring

What problem does it solve?

This Skill provides a comprehensive solution for monitoring the Hopsworks feature store, enabling descriptive statistics, drift detection, data validation, alerts, and inference feature logging.

Core Features & Use Cases

• Descriptive Statistics: Compute and track statistics on feature data.
• Drift Detection: Monitor for data drift in feature groups and feature views.
• Data Validation: Validate feature data using Great Expectations.
• Alerts: Set up alerts for various events such as drift detection or validation failures.
• Inference Feature Logging: Log inference features for post-hoc drift analysis.
• Use Case: Use this Skill to ensure the integrity and quality of feature data in your Hopsworks project, helping to maintain data consistency and accuracy.

Quick Start

Use the hops-monitoring skill to set up monitoring for the 'amount' feature in the 'my_fg' feature group.