pdmlabs.postprocessing.causeFeatureSelection

Cause-based feature selection post-processor (Not yet implemented).

This module is reserved for a post-processor that would identify and select the most important features/sensors contributing to detected anomalies.

Potential implementation would: - Analyze anomaly scores in relation to input features - Compute feature importance/contribution to anomaly detection - Return subset of features most relevant to anomalies - Output could be rankings, selections, or attribution maps

Status: Implementation placeholder (TODO).