TEST run full test suite again

automl · Jan 10, 2017 · 5ff12f5 · 5ff12f5
1 parent e3d94ad
commit 5ff12f5
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Showing 3 changed files with 10 additions and 11 deletions.
diff --git a/test/test_automl/test_automl.py b/test/test_automl/test_automl.py
@@ -98,8 +98,8 @@ def test_fit(self):
         backend_api = backend.create(output, output)
         automl = autosklearn.automl.AutoML(backend_api, 60, 10)
         automl.fit(X_train, Y_train)
-        print(automl.show_models(), flush=True)
-        print(automl.cv_results_, flush=True)
+        #print(automl.show_models(), flush=True)
+        #print(automl.cv_results_, flush=True)
         score = automl.score(X_test, Y_test)
         self.assertGreaterEqual(score, 0.8)
         self.assertEqual(automl._task, MULTICLASS_CLASSIFICATION)
@@ -127,8 +127,8 @@ def test_binary_score(self):
         backend_api = backend.create(output, output)
         automl = autosklearn.automl.AutoML(backend_api, 60, 10)
         automl.fit(X_train, Y_train, task=BINARY_CLASSIFICATION)
-        print(automl.show_models(), flush=True)
-        print(automl.cv_results_, flush=True)
+        #print(automl.show_models(), flush=True)
+        #print(automl.cv_results_, flush=True)
         self.assertEqual(automl._task, BINARY_CLASSIFICATION)
 
         score = automl.score(X_test, Y_test)

diff --git a/test/test_automl/test_estimators.py b/test/test_automl/test_estimators.py
@@ -18,7 +18,6 @@
 from autosklearn.estimators import AutoMLClassifier
 from autosklearn.util.backend import Backend, BackendContext
 from autosklearn.constants import *
-30
 sys.path.append(os.path.dirname(__file__))
 from base import Base
 
@@ -44,8 +43,8 @@ def test_fit(self):
                                        tmp_folder=output,
                                        output_folder=output)
         automl.fit(X_train, Y_train)
-        print(automl.show_models(), flush=True)
-        print(automl.cv_results_, flush=True)
+        #print(automl.show_models(), flush=True)
+        #print(automl.cv_results_, flush=True)
         score = automl.score(X_test, Y_test)
 
         self.assertGreaterEqual(score, 0.8)
@@ -168,7 +167,7 @@ def test_fit_pSMAC(self):
                             dataset_name='iris',
                             ensemble_size=20,
                             ensemble_nbest=50)
-        print(automl.show_models(), flush=True)
+        #print(automl.show_models(), flush=True)
 
         predictions = automl.predict(X_test)
         score = sklearn.metrics.accuracy_score(Y_test, predictions)
@@ -302,8 +301,8 @@ def test_can_pickle_classifier(self):
                                        tmp_folder=output,
                                        output_folder=output)
         automl.fit(X_train, Y_train)
-        print(automl.show_models(), flush=True)
-        print(automl.cv_results_, flush=True)
+        #print(automl.show_models(), flush=True)
+        #print(automl.cv_results_, flush=True)
 
         initial_predictions = automl.predict(X_test)
         initial_accuracy = sklearn.metrics.accuracy_score(Y_test,

diff --git a/testcommand.sh b/testcommand.sh
@@ -1,2 +1,2 @@
 #!/usr/bin/env bash
-nosetests --processes=16 --process-timeout=240 -v $1
+nosetests --processes=14 --process-timeout=360 -v $1