fixup! fixup! fixup! removed py 3.8, added 3.13

Author: janoPig

HROCH/classifier.py

@@ -291,8 +291,7 @@ def predict_proba(self, X, id=None, check_input=True):
         return proba
 
     def __sklearn_tags__(self):
-        tags = super(ClassifierMixin, self).__sklearn_tags__()
-        tags.estimator_type = 'classifier'
+        tags = super().__sklearn_tags__()
         tags.classifier_tags = ClassifierTags(multi_class = False)
         return tags
 
@@ -363,4 +362,4 @@ def predict_proba(self, X):
         return super().predict_proba(X)
 
     def __sklearn_tags__(self):
-        return super(OneVsRestClassifier, self).__sklearn_tags__()
+        return super().__sklearn_tags__()

HROCH/fuzzy.py

@@ -279,7 +279,7 @@ def predict_proba(self, X, id=None, check_input=True):
         return proba
 
     def __sklearn_tags__(self):
-        tags = super(ClassifierMixin, self).__sklearn_tags__()
+        tags = super().__sklearn_tags__()
         tags.estimator_type = 'classifier'
         tags.classifier_tags = ClassifierTags(multi_class = False, poor_score=True)
         return tags
@@ -352,9 +352,6 @@ def predict_proba(self, X):
         return super().predict_proba(X)
 
     def __sklearn_tags__(self):
-        tags = super(OneVsRestClassifier, self).__sklearn_tags__()
-        if tags.classifier_tags is not None:
-            tags.classifier_tags.poor_score = True
-        else:
-            tags.classifier_tags = ClassifierTags(poor_score=True)
+        tags = super().__sklearn_tags__()
+        tags.classifier_tags = ClassifierTags(poor_score = True)
         return tags

HROCH/hroch.py

@@ -270,7 +270,7 @@ def __repr__(self):
         return f"RegressorMathModel({self.m.str_representation})"
 
     def __sklearn_tags__(self):
-        return super(RegressorMixin, self).__sklearn_tags__()
+        return super().__sklearn_tags__()
 
 
 class ClassifierMathModel(ClassifierMixin, MathModelBase):
@@ -400,7 +400,7 @@ def __repr__(self):
         return f"ClassifierMathModel({self.m.str_representation})"
 
     def __sklearn_tags__(self):
-        return super(ClassifierMixin, self).__sklearn_tags__()
+        return super().__sklearn_tags__()
 
 
 # void * CreateSolver(solver_params * params)

HROCH/regressor.py

@@ -226,4 +226,4 @@ def predict(self, X, id=None, check_input=True, use_parsed_model=True):
         return super(SymbolicRegressor, self).predict(X, id=id, check_input=check_input, use_parsed_model=use_parsed_model)
 
     def __sklearn_tags__(self):
-        return super(RegressorMixin, self).__sklearn_tags__()
+        return super().__sklearn_tags__()