def determine_action_confidence( self, param_dict ):
# determine the action code in question
action_code = self.determine_action_code( param_dict['feature_set'] )
confidence_score = param_dict['confidence_score']
pomdp_dict = self.determine_pomdp_dict( \
action_code, param_dict, \
use_confidence_scores=True, \
confidence_score=confidence_score )
# Include the belief vector in the action_dict also
action_dict = \
tbh_action_dict_manager.process_code( \
pomdp_dict['new_machine_action'] )
action_dict['pomdp_dict'] = pomdp_dict
return action_dict
def determine_action_threshold( self, param_dict, threshold ):
confidence_score = param_dict['confidence_score']
if confidence_score < threshold:
action_code = [ 'null', 'yes_record' ]
confidence_score = 0.5
else:
action_code = self.determine_action_code( param_dict['feature_set'] )
confidence_score = 0.999
pomdp_dict = self.determine_pomdp_dict( \
action_code, param_dict, \
use_confidence_scores=True, \
confidence_score=confidence_score )
action_dict = \
tbh_action_dict_manager.process_code( \
pomdp_dict['new_machine_action'] )
action_dict['pomdp_dict'] = pomdp_dict
return action_dict
