def test_bagged_regressor_imputer():
imputer = BaggedRegressorImputer(random_state=42)
trans = imputer.fit_transform(X)
assert trans is not X
assert pd.isnull(trans).values.sum() == 0
assert_array_almost_equal(
trans.values,
np.array([[1., 2.16, 3.1], [1.77, 2.3, 3.1], [2.1, 2.1, 3.1]]))
def test_bagged_regressor_single_predictor_valid():
# works because even though only 1 predictor, it's not in cols
imputer = BaggedRegressorImputer(predictors=['a'],
cols=['b', 'c'],
random_state=42)
trans = imputer.fit_transform(X)
assert trans is not X
# still a nan in there because we didn't impute A
assert_array_almost_equal(
trans.values,
np.array([[1., 2.16, 3.1], [nan, 2.3, 3.1], [2.1, 2.1, 3.1]]))
def test_bagged_regressor_single_predictor_corner():
# fails because only one predictor, and it's in cols
imputer = BaggedRegressorImputer(predictors=['a'])
assert_raises(ValueError, imputer.fit, X)