[FIX] Fix compatibility with scikit-learn 0.23

Orange/base.py

@@ -520,11 +520,14 @@ def params(self, value):
     def _get_sklparams(self, values):
         skllearner = self.__wraps__
         if skllearner is not None:
-            spec = inspect.getargs(skllearner.__init__.__code__)
+            spec = list(
+                inspect.signature(skllearner.__init__).parameters.keys()
+            )
             # first argument is 'self'
-            assert spec.args[0] == "self"
-            params = {name: values[name] for name in spec.args[1:]
-                      if name in values}
+            assert spec[0] == "self"
+            params = {
+                name: values[name] for name in spec[1:] if name in values
+            }
         else:
             raise TypeError("Wrapper does not define '__wraps__'")
         return params

Orange/projection/base.py

@@ -196,11 +196,14 @@ def params(self, value):
     def _get_sklparams(self, values):
         sklprojection = self.__wraps__
         if sklprojection is not None:
-            spec = inspect.getargs(sklprojection.__init__.__code__)
+            spec = list(
+                inspect.signature(sklprojection.__init__).parameters.keys()
+            )
             # first argument is 'self'
-            assert spec.args[0] == "self"
-            params = {name: values[name] for name in spec.args[1:]
-                      if name in values}
+            assert spec[0] == "self"
+            params = {
+                name: values[name] for name in spec[1:] if name in values
+            }
         else:
             raise TypeError("Wrapper does not define '__wraps__'")
         return params

requirements-core.txt

@@ -1,7 +1,7 @@
 pip>=9.0
 numpy>=1.16.0
 scipy>=0.16.1
-scikit-learn>=0.22.0,<0.23  # temp fix: https://github.com/biolab/orange3/pull/4768
+scikit-learn>=0.22.0,!=0.23.0  # 0.23.0 have error with slow k-means, it will be fixed in 0.23.1
 bottleneck>=1.0.0
 # Reading Excel files
 xlrd>=0.9.2