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fenago
40 lines
995 B
Python
40 lines
995 B
Python
import unittest
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import import_ipynb
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import pandas as pd
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import pandas.testing as pd_testing
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import numpy.testing as np_testing
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from sklearn import datasets, svm, model_selection
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class Test(unittest.TestCase):
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def setUp(self):
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import Exercise_8_2
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self.exercises = Exercise_8_2
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self.digits = datasets.load_digits()
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self.y = self.digits.target
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self.X = self.digits.data
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self.clr = svm.SVC(gamma='scale')
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self.grid = [
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{'kernel': ['linear']},
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{'kernel': ['poly'], 'degree': [2, 3, 4]}
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]
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self.cv_spec = model_selection.GridSearchCV(estimator=self.clr, param_grid=self.grid, scoring='accuracy', cv=10)
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self.cv_spec.fit(self.X, self.y)
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def test_result(self):
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self.assertEqual(
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self.exercises.cv_spec.cv_results_["mean_test_score"].max()
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, self.cv_spec.cv_results_["mean_test_score"].max()
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)
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if __name__ == '__main__':
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unittest.main()
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