def test_feature_selection_target_binary_features_binary(
self, minimal_p_value_for_unsignificant_features, binary_feature,
binary_target_not_related):
"""
Test if the p_value returned by target_binary_feature_binary_test is
large enough for highly unsignificant features.
"""
p_value = target_binary_feature_binary_test(binary_feature,
binary_target_not_related)
assert minimal_p_value_for_unsignificant_features < p_value
def test_feature_selection_target_binary_features_binary(
self, maximal_p_value_for_significant_features, binary_feature):
"""
Test if the p_value returned by target_binary_feature_binary_test is
low enough for highly significant features.
"""
y = binary_feature - pd.Series(
np.random.binomial(1, 0.1, 250) + np.random.binomial(1, 0.1, 250))
y[y == -1] = 0
y[y == -2] = 0
y[y == 2] = 1
p_value = target_binary_feature_binary_test(binary_feature, y)
assert maximal_p_value_for_significant_features > p_value
def test_checks_target_is_series(self, binary_series):
with pytest.raises(TypeError):
target_binary_feature_binary_test(x=binary_series, y=binary_series.values)
def test_checks_target_nan(self, binary_series_with_nan, binary_series):
with pytest.raises(ValueError):
target_binary_feature_binary_test(x=binary_series, y=binary_series_with_nan)
def test_checks_target_is_binary(self, binary_series, real_series):
with pytest.raises(ValueError):
target_binary_feature_binary_test(x=binary_series, y=real_series)
