def predict_proba(self): """ The predict_proba compute the probabilities predicted for each x row defined in add_input. Returns ------- pandas.DataFrame A dataset with all probabilities of each label if there is no ypred data or a dataset with ypred and the associated probability. Example -------- >>> predictor.add_input(x=xtest_df) >>> predictor.predict_proba() """ return predict_proba(self.model, self.data["x_preprocessed"], self._classes)
def predict_proba(self): """ The predict_proba compute the proba values for each x_init row """ self.proba_values = predict_proba(self.model, self.x_init, self._classes)