Correction of warning for probabilistic input

Author: Carole Sudre

MetricsReloaded/metrics/calibration_measures.py

@@ -138,6 +138,9 @@ def expectation_calibration_error(self):
         """
         Derives the expectation calibration error in the case of binary task
         bins_ece is the key in the dictionary for the number of bins to consider
+        Cheat sheet SN 3.68 p113
+        Defined in Mahdi Pakdaman Naeini, Gregory Cooper, and Milos Hauskrecht. Obtaining well calibrated probabilities using
+        bayesian binning. In Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
         Default is 10
 
         .. math::

MetricsReloaded/processes/mixed_measures_processes.py

@@ -776,7 +776,7 @@ def per_label_dict(self):
                         dict_mt["label"] = lab
                         dict_mt["case"] = name
                         list_mt.append(dict_mt)
-                    else:
+                    if not self.flag_valid_proba and len(self.measures_mt)>0:
                         warnings.warn('No probabilistic input or no probabilistic measure so impossible to get multi-threshold metric')
                 else:
                     list_pred.append(pred_tmp)