def test_changed_only(): # Make sure the changed_only param is correctly used set_config(print_changed_only=True) lr = LogisticRegression(C=99) expected = """LogisticRegression(C=99)""" assert lr.__repr__() == expected # Check with a repr that doesn't fit on a single line lr = LogisticRegression(C=99, class_weight=.4, fit_intercept=False, tol=1234, verbose=True) expected = """ LogisticRegression(C=99, class_weight=0.4, fit_intercept=False, tol=1234, verbose=True)""" expected = expected[1:] # remove first \n assert lr.__repr__() == expected imputer = SimpleImputer(missing_values=0) expected = """SimpleImputer(missing_values=0)""" assert imputer.__repr__() == expected # Defaults to np.NaN, trying with float('NaN') imputer = SimpleImputer(missing_values=float('NaN')) expected = """SimpleImputer()""" assert imputer.__repr__() == expected set_config(print_changed_only=False)
def test_changed_only(): # Make sure the changed_only param is correctly used set_config(print_changed_only=True) lr = LogisticRegression(C=99) expected = """LogisticRegression(C=99)""" assert lr.__repr__() == expected # Check with a repr that doesn't fit on a single line lr = LogisticRegression(C=99, class_weight=.4, fit_intercept=False, tol=1234, verbose=True) expected = """ LogisticRegression(C=99, class_weight=0.4, fit_intercept=False, tol=1234, verbose=True)""" expected = expected[1:] # remove first \n assert lr.__repr__() == expected imputer = SimpleImputer(missing_values=0) expected = """SimpleImputer(missing_values=0)""" assert imputer.__repr__() == expected # Defaults to np.NaN, trying with float('NaN') imputer = SimpleImputer(missing_values=float('NaN')) expected = """SimpleImputer()""" assert imputer.__repr__() == expected set_config(print_changed_only=False)
def test_basic(): # Basic pprint test lr = LogisticRegression() expected = """ LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, l1_ratio=None, max_iter=100, multi_class='warn', n_jobs=None, penalty='l2', random_state=None, solver='warn', tol=0.0001, verbose=0, warm_start=False)""" expected = expected[1:] # remove first \n assert lr.__repr__() == expected
def test_basic(): # Basic pprint test lr = LogisticRegression() expected = """ LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, l1_ratio=None, max_iter=100, multi_class='warn', n_jobs=None, penalty='l2', random_state=None, solver='warn', tol=0.0001, verbose=0, warm_start=False)""" expected = expected[1:] # remove first \n assert lr.__repr__() == expected