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fenago
64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
import unittest
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import import_ipynb
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from sklearn.linear_model import LogisticRegression
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from sklearn.metrics import roc_auc_score
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import pandas.testing as pd_testing
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import numpy.testing as np_testing
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class MyTestCase(unittest.TestCase):
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def setUp(self):
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import Exercise6_12
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self.exercises = Exercise6_12
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self.headers = ['Age', 'Delivery_Nbr', 'Delivery_Time', 'Blood_Pressure', 'Heart_Problem', 'Caesarian']
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self.df = pd.read_csv('../Dataset/caesarian.csv.arff', names=self.headers, index_col=None, skiprows=15)
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self.features = self.df.drop(['Caesarian'], axis=1).values
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self.labels = self.df[['Caesarian']].values
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self.X_train, self.X_eval, self.y_train, self.y_eval = train_test_split(self.features, self.labels, test_size=0.2, random_state=0)
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self.X_val, self.X_test, self.y_val, self.y_test = train_test_split(self.X_eval, self.y_eval, test_size=0.5, random_state=0)
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self.model = LogisticRegression()
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self.model.fit(self.X_train, self.y_train)
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self.y_proba = self.model.predict_proba(self.X_val)
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self._auc = roc_auc_score(self.y_val, self.y_proba[:, 0])
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def test_df(self):
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pd_testing.assert_frame_equal(self.exercises.df, self.df)
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def test_features(self):
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np_testing.assert_array_equal(self.exercises.features, self.features)
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def test_labels(self):
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np_testing.assert_array_equal(self.exercises.labels, self.labels)
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def test_X_train(self):
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np_testing.assert_array_equal(self.exercises.X_train, self.X_train)
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def test_X_val(self):
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np_testing.assert_array_equal(self.exercises.X_val, self.X_val)
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def test_X_test(self):
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np_testing.assert_array_equal(self.exercises.X_test, self.X_test)
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def test_y_train(self):
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np_testing.assert_array_equal(self.exercises.y_train, self.y_train)
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def test_y_val(self):
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np_testing.assert_array_equal(self.exercises.y_val, self.y_val)
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def test_y_test(self):
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np_testing.assert_array_equal(self.exercises.y_test, self.y_test)
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def test_y_proba(self):
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np_testing.assert_array_equal(self.exercises.y_proba, self.y_proba)
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def test_auc(self):
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np_testing.assert_array_equal(self.exercises._auc, self._auc)
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if __name__ == '__main__':
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unittest.main()
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