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reset graph in DNN

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bohanjason
2019-12-16 23:54:29 -05:00
committed by Dana Van Aken
parent c76c8e7bfb
commit f0deb63cdf
2 changed files with 9 additions and 4 deletions
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7
server/analysis/tests/test_nn.py
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@@ -26,17 +26,18 @@ class TestNN(unittest.TestCase):
np.random.seed(0)
set_random_seed(0)
cls.model = NeuralNet(n_input=X_test.shape[1],
batch_size=X_test.shape[0])
batch_size=X_test.shape[0],
reset_seed=True)
cls.model.fit(X_train, y_train)
cls.nn_result = cls.model.predict(X_test)
cls.nn_recommend = cls.model.recommend(X_test)
def test_nn_ypreds(self):
ypreds_round = ['%.3f' % x[0] for x in self.nn_result]
expected_ypreds = ['20.021', '22.578', '22.722', '26.889', '24.362', '23.258']
expected_ypreds = ['21.279', '22.668', '23.115', '27.228', '25.892', '23.967']
self.assertEqual(ypreds_round, expected_ypreds)
def test_nn_yrecommend(self):
recommends_round = ['%.3f' % x[0] for x in self.nn_recommend.minl]
expected_recommends = ['13.321', '15.482', '15.621', '18.648', '16.982', '15.986']
expected_recommends = ['21.279', '21.279', '21.279', '21.279', '21.279', '21.279']
self.assertEqual(recommends_round, expected_recommends)