(hot-fix) fit_learner now checks if a learner is setted BEFORE checki…

…ng if mq.ARGUMENTS_SETTED is True

mlquantify/base.py

@@ -314,14 +314,14 @@ def fit_learner(self, X, y):
         y : array-like
             Training labels.
         """
-        if mq.ARGUMENTS_SETTED:
+        if self.learner is not None:
+            if not self.learner_fitted:
+                self.learner_.fit(X, y)
+        elif mq.ARGUMENTS_SETTED:
             if self.is_probabilistic and mq.arguments["posteriors_test"] is not None:
                 return
             elif not self.is_probabilistic and mq.arguments["y_pred"] is not None:
                 return
-        else:
-            if not self.learner_fitted:
-                self.learner_.fit(X, y)
 
     def predict_learner(self, X):
         """Predict the class labels or probabilities for the given data.