detect_feature_drift
Analyze distribution changes for individual features between training and test data to identify model performance issues.
Instructions
Detect drift for a single feature between training and test data.
Returns detailed drift analysis for one feature: statistical test
results, severity, how the distribution shifted (direction, magnitude),
and reference vs. current distribution summaries.
Args:
model_id: ID of a registered model (e.g., "gbc_lubricant_quality").
feature_name: Name of the feature to analyze (e.g., "mean radius").Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model_id | Yes | ||
| feature_name | Yes |