modified some examples to make them work

Author: SubhadityaMukherjee

examples/20_basic/simple_flows_and_runs_tutorial.py

@@ -34,8 +34,11 @@
 # %%
 dataset = openml.datasets.get_dataset(20)
 X, y, categorical_indicator, attribute_names = dataset.get_data(
-    target=dataset.default_target_attribute
+    dataset_format="dataframe", target=dataset.default_target_attribute
 )
+if y is None:
+    y = X["class"]
+    X = X.drop(columns=["class"], axis=1)
 clf = neighbors.KNeighborsClassifier(n_neighbors=3)
 clf.fit(X, y)
 
@@ -44,6 +47,7 @@
 
 # %%
 task = openml.tasks.get_task(119)
+
 clf = ensemble.RandomForestClassifier()
 run = openml.runs.run_model_on_task(clf, task)
 print(run)

examples/30_extended/benchmark_with_optunahub.py

@@ -34,7 +34,6 @@
 # go to your profile and select the API-KEY.
 # Or log in, and navigate to https://www.openml.org/auth/api-key
 openml.config.apikey = ""
-
 ############################################################################
 # Prepare for preprocessors and an OpenML task
 # ============================================

examples/30_extended/datasets_tutorial.py

@@ -13,14 +13,14 @@
 # * List datasets
 
 # %%
-datalist = openml.datasets.list_datasets()
+datalist = openml.datasets.list_datasets(output_format="dataframe")
 datalist = datalist[["did", "name", "NumberOfInstances", "NumberOfFeatures", "NumberOfClasses"]]
 
 print(f"First 10 of {len(datalist)} datasets...")
 datalist.head(n=10)
 
 # The same can be done with lesser lines of code
-openml_df = openml.datasets.list_datasets()
+openml_df = openml.datasets.list_datasets(output_format="dataframe")
 openml_df.head(n=10)
 
 # %% [markdown]

examples/30_extended/fetch_evaluations_tutorial.py

@@ -33,7 +33,7 @@
 
 # Using other evaluation metrics, 'precision' in this case
 evals = openml.evaluations.list_evaluations(
-    function="precision", size=10
+    function="precision", size=10, output_format="dataframe"
 )
 
 # Querying the returned results for precision above 0.98

examples/30_extended/flow_id_tutorial.py

@@ -16,6 +16,7 @@
 
 # %%
 openml.config.start_using_configuration_for_example()
+openml.config.server = "https://api.openml.org/api/v1/xml"
 
 # %%
 # Defining a classifier