def test_get_feature_names_out_raises_error_when_wrong_param(
_input_features, df_vartypes):
transformer = RelativeFeatures(
variables=["Age", "Marks"],
reference=["Age", "Marks"],
func=["add", "sub"],
)
transformer.fit(df_vartypes)
with pytest.raises(ValueError):
transformer.get_feature_names_out(input_features=_input_features)
def test_error_when_division_by_zero(_func, df_vartypes):
df_zero = df_vartypes.copy()
df_zero.loc[1, "Marks"] = 0
transformer = RelativeFeatures(
variables=["Age"],
reference=["Marks"],
func=_func,
)
transformer.fit(df_vartypes)
with pytest.raises(ValueError):
transformer.transform(df_zero)
def test_error_when_null_values_in_variable(df_vartypes):
df_na = df_vartypes.copy()
df_na.loc[1, "Age"] = np.nan
transformer = RelativeFeatures(
variables=["Age", "Marks"],
reference=["Age", "Marks"],
func=["add", "mul"],
missing_values="raise",
)
with pytest.raises(ValueError):
transformer.fit(df_na)
transformer.fit(df_vartypes)
with pytest.raises(ValueError):
transformer.transform(df_na)