FIX meta-learning

Author: mfeurer

autosklearn/metalearning/metalearning/kNearestDatasets/kND.py

@@ -54,7 +54,7 @@ def fit(self, metafeatures, runs):
                 best_configuration_per_dataset[dataset_name] = None
             else:
                 best_configuration_per_dataset[dataset_name] = \
-                    runs[dataset_name].argmin(skipna=True)
+                    runs[dataset_name].index[np.nanargmin(runs[dataset_name].values)]
 
         self.best_configuration_per_dataset = best_configuration_per_dataset
 

autosklearn/metalearning/metalearning/meta_base.py

@@ -44,7 +44,7 @@ def __init__(self, configuration_space, aslib_directory):
         for algorithm_id in self.configurations:
             configuration = self.configurations[algorithm_id]
             try:
-                configurations[algorithm_id] = \
+                configurations[str(algorithm_id)] = \
                     (Configuration(configuration_space, values=configuration))
             except (ValueError, KeyError) as e:
                 self.logger.debug("Error reading configurations: %s", e)
@@ -97,7 +97,7 @@ def _get_metafeatures(self, features):
         return all_metafeatures
 
     def get_configuration_from_algorithm_index(self, idx):
-        return self.configurations[idx]
+        return self.configurations[str(idx)]
         #configuration = self.configurations[idx]
         #configuration = Configuration(self.configuration_space,
         # **configuration)