Updated apps

custom_components/ha_washdata/ml/cycle_end_detector_model.py

@@ -43,6 +43,8 @@ MODEL_NAME = 'cycle_end_detector'
 MODEL_TARGET = 'cycle_truly_ended'
 MODEL_KIND = 'standardized_logistic'
 TARGET_UNITS = ''
+# Training artifact for select_threshold only — NOT used at live inference.
+# The live defer-finish gate reads DEFAULT_DEFER_FINISH_CONFIDENCE from const.py.
 THRESHOLD = 0.6
 
 FEATURE_COLUMNS = [

custom_components/ha_washdata/ml/hybrid_curve_quality_model.py

@@ -43,6 +43,8 @@ MODEL_NAME = 'hybrid_curve_quality'
 MODEL_TARGET = 'problem_cycle'
 MODEL_KIND = 'standardized_logistic'
 TARGET_UNITS = ''
+# Training artifact for select_threshold only — NOT used at live inference.
+# The live quality-suspicious gate reads ML_QUALITY_SUSPICIOUS_THRESHOLD from const.py.
 THRESHOLD = 0.19
 
 FEATURE_COLUMNS = [

custom_components/ha_washdata/ml/live_match_commit_model.py

@@ -43,6 +43,8 @@ MODEL_NAME = 'live_match_commit'
 MODEL_TARGET = 'match_top1_correct'
 MODEL_KIND = 'standardized_logistic'
 TARGET_UNITS = ''
+# Training artifact for select_threshold only — NOT used at live inference.
+# The live early-commit gate reads ML_MATCH_COMMIT_THRESHOLD from const.py.
 THRESHOLD = 0.371786
 
 FEATURE_COLUMNS = [