pybinding fix

Author: mathias-von-ottenbreit

cpp/pythonbinding.cpp

@@ -22,11 +22,11 @@ PYBIND11_MODULE(aplr_cpp, m) {
             py::arg("cap_outliers_when_using_the_model")=true)
         .def("fit", &APLRRegressor::fit,py::arg("X"),py::arg("y"),py::arg("sample_weight")=VectorXd(0),py::arg("X_names")=std::vector<std::string>(),
             py::arg("validation_set_indexes")=std::vector<size_t>(),py::call_guard<py::scoped_ostream_redirect,py::scoped_estream_redirect>())
-        .def("predict", &APLRRegressor::predict,py::arg("X"),py::arg("cap_outliers")=true)
+        .def("predict", &APLRRegressor::predict,py::arg("X"))
         .def("set_term_names", &APLRRegressor::set_term_names,py::arg("X_names"))
-        .def("calculate_local_feature_importance",&APLRRegressor::calculate_local_feature_importance,py::arg("X"),py::arg("cap_outliers")=true)
-        .def("calculate_local_feature_importance_for_terms",&APLRRegressor::calculate_local_feature_importance_for_terms,py::arg("X"),py::arg("cap_outliers")=true)
-        .def("calculate_terms",&APLRRegressor::calculate_terms,py::arg("X"),py::arg("cap_outliers")=true)
+        .def("calculate_local_feature_importance",&APLRRegressor::calculate_local_feature_importance,py::arg("X"))
+        .def("calculate_local_feature_importance_for_terms",&APLRRegressor::calculate_local_feature_importance_for_terms,py::arg("X"))
+        .def("calculate_terms",&APLRRegressor::calculate_terms,py::arg("X"))
         .def("get_term_names", &APLRRegressor::get_term_names)
         .def("get_term_coefficients", &APLRRegressor::get_term_coefficients)
         .def("get_term_coefficient_steps", &APLRRegressor::get_term_coefficient_steps,py::arg("term_index"))