bug_fix_show_models (#1114)

Author: franchuterivera

autosklearn/evaluation/abstract_evaluator.py

@@ -57,6 +57,9 @@ def __init__(
             super(MyDummyClassifier, self).__init__(strategy="most_frequent")
         self.random_state = random_state
         self.init_params = init_params
+        self.dataset_properties = dataset_properties
+        self.include = include
+        self.exclude = exclude
 
     def pre_transform(
         self,
@@ -110,6 +113,9 @@ def __init__(
             super(MyDummyRegressor, self).__init__(strategy='median')
         self.random_state = random_state
         self.init_params = init_params
+        self.dataset_properties = dataset_properties
+        self.include = include
+        self.exclude = exclude
 
     def pre_transform(
         self,

test/test_automl/test_automl.py

@@ -12,6 +12,7 @@
 import pandas as pd
 import pytest
 import sklearn.datasets
+from sklearn.base import clone
 from smac.scenario.scenario import Scenario
 from smac.facade.roar_facade import ROAR
 
@@ -426,6 +427,16 @@ def test_do_dummy_prediction(backend, dask_client, datasets):
         'predictions_ensemble_1_1_0.0.npy')
     )
 
+    model_path = os.path.join(backend.temporary_directory, '.auto-sklearn',
+                              'runs', '1_1_0.0',
+                              '1.1.0.0.model')
+
+    # Make sure the dummy model complies with scikit learn
+    # get/set params
+    assert os.path.exists(model_path)
+    with open(model_path, 'rb') as model_handler:
+        clone(pickle.load(model_handler))
+
     auto._clean_logger()
 
     del auto