Reduced verbosity of Fisher info calculation in ensembles with 'information' mode
@@ -858,7 +858,7 @@ class MLForge:
# Calculate expected score
expected_score = np.mean(t_hats, axis=0)
- logger.info("Expected per-event score (should be close to zero): %s", expected_score)
+ logger.debug("Expected per-event score (should be close to zero): %s", expected_score)
return fisher_information
