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
