Drift Detection
Monitor data distribution changes over time to detect concept drift.
Centroid Drift
Detect changes in data center:
-- Detect centroid drift SELECT centroid_drift_detection( 'reference_table', 'current_table', 'features', 0.1 -- threshold );
Distribution Divergence
Measure distribution differences:
-- KL divergence detection SELECT distribution_divergence( 'reference_table', 'current_table', 'features', 'kl' -- divergence type );
Temporal Monitoring
Track drift over time:
-- Monitor drift over time windows SELECT temporal_drift_monitor( 'time_series_table', 'features', 'timestamp_column', INTERVAL '1 day' -- window size );
Learn More
For detailed documentation on drift detection methods, setting thresholds, alerting, and model retraining strategies, visit:
Related Topics
- Outlier Detection - Detect anomalies
- Quality Metrics - Monitor data quality