def test_repr():
model = VW()
expected = "VW('convert_labels:False', 'quiet:True', 'sgd:False')"
assert expected == model.__repr__()
model = VWClassifier()
expected = "VWClassifier('convert_labels:False', "\
"'loss_function:logistic', 'quiet:True', 'sgd:False')"
assert expected == model.__repr__()
model = VWRegressor()
expected = "VWRegressor('convert_labels:False', 'quiet:True', 'sgd:False')"
assert expected == model.__repr__()
model = VW(convert_to_vw=False,
oaa=3,
loss_function='logistic',
probabilities=True)
expected = "VW('convert_labels:False', 'loss_function:logistic', "\
"'oaa:3', 'probabilities:True', 'quiet:True', 'sgd:False')"
assert expected == model.__repr__()
