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[pre-commit.ci] auto fixes from pre-commit.com hooks
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@ -14,24 +14,26 @@ To run these tests, use the following command:
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import numpy as np
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import numpy as np
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from ridge_regression import RidgeRegression
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from ridge_regression import RidgeRegression
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def test_feature_scaling():
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def test_feature_scaling():
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"""
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"""
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Tests the feature_scaling function of RidgeRegression.
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Tests the feature_scaling function of RidgeRegression.
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--------
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--------
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>>> model = RidgeRegression()
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>>> model = RidgeRegression()
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>>> X = np.array([[1, 2], [2, 3], [3, 4]])
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>>> X = np.array([[1, 2], [2, 3], [3, 4]])
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>>> X_scaled, mean, std = model.feature_scaling(X)
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>>> X_scaled, mean, std = model.feature_scaling(X)
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>>> np.round(X_scaled, 2)
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>>> np.round(X_scaled, 2)
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array([[-1.22, -1.22],
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array([[-1.22, -1.22],
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[ 0. , 0. ],
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[ 0. , 0. ],
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[ 1.22, 1.22]])
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[ 1.22, 1.22]])
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>>> np.round(mean, 2)
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>>> np.round(mean, 2)
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array([2., 3.])
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array([2., 3.])
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>>> np.round(std, 2)
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>>> np.round(std, 2)
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array([0.82, 0.82])
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array([0.82, 0.82])
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"""
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"""
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pass
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pass
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def test_fit():
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def test_fit():
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"""
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"""
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Tests the fit function of RidgeRegression
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Tests the fit function of RidgeRegression
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@ -52,6 +54,7 @@ def test_fit():
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"""
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"""
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pass
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pass
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def test_predict():
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def test_predict():
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"""
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"""
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Tests the predict function of RidgeRegression
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Tests the predict function of RidgeRegression
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@ -73,6 +76,7 @@ def test_predict():
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"""
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"""
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pass
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pass
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def test_mean_absolute_error():
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def test_mean_absolute_error():
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"""
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"""
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Tests the mean_absolute_error function of RidgeRegression
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Tests the mean_absolute_error function of RidgeRegression
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@ -86,6 +90,8 @@ def test_mean_absolute_error():
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"""
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"""
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pass
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pass
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if __name__ == "__main__":
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if __name__ == "__main__":
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import doctest
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import doctest
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doctest.testmod()
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doctest.testmod()
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