[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

pydra_ml/report.py

@@ -46,7 +46,7 @@ def performance_table(df, output_dir, round_decimals=2):
                 output_dir,
                 f"test-performance-table_{metric}_all-splits_{timestamp}.csv",
             ),
-            float_format='%.2f'
+            float_format="%.2f",
         )
 
         # null
@@ -65,7 +65,7 @@ def performance_table(df, output_dir, round_decimals=2):
         # Save median score with median null score in square brackets as strings
 
         df_summary = pd.DataFrame(index=[0], columns=classifier_names)
-        df_summary[classifier_names] = ''
+        df_summary[classifier_names] = ""
 
         for clf in classifier_names:
             data_median = round(df_metric_data_clean_median[clf], round_decimals)

pydra_ml/tasks.py

@@ -118,7 +118,7 @@ def calc_metric(output, metrics):
     for metric in metrics:
         metric_mod = __import__("sklearn.metrics", fromlist=[metric])
         metric_func = getattr(metric_mod, metric)
-        if metric == 'roc_auc_score' and output[2] is not None:
+        if metric == "roc_auc_score" and output[2] is not None:
             # For roc_auc_score, we need to pass the probability of the positive class
             score.append(metric_func(output[0], output[2][:, 1]))
         else: