Removing inexisting parameter to fetch_openml

code/bolsonaro/data/dataset_loader.py

@@ -112,7 +112,7 @@ class DatasetLoader(object):
             dataset_loading_func = change_binary_func_openml('kr-vs-kp')
             task = Task.BINARYCLASSIFICATION
         elif name == 'kin8nm':
-            X, y = fetch_openml('kin8nm', return_X_y=True, random_state=dataset_parameters.random_state)
+            X, y = fetch_openml('kin8nm', return_X_y=True)
             task = Task.REGRESSION
         else:
             raise ValueError("Unsupported dataset '{}'".format(name))

code/bolsonaro/utils.py

@@ -82,10 +82,7 @@ def change_binary_func_load(base_load_function):
 
 def change_binary_func_openml(dataset_name):
     def func_load(return_X_y=True, random_state=None):
-        if random_state:
-            X, y = fetch_openml(dataset_name, return_X_y=return_X_y, random_state=random_state)
-        else:
-            X, y = fetch_openml(dataset_name, return_X_y=return_X_y)
+        X, y = fetch_openml(dataset_name, return_X_y=return_X_y)
         possible_classes = sorted(set(y))
         assert len(possible_classes) == 2, "Function change binary_func_load only work for binary classfication"
         y = binarize_class_data(y, possible_classes[-1])