add_polynomial_features_constr#
- gurobi_ml.sklearn.preprocessing.add_polynomial_features_constr(gp_model, polynomial_features, input_vars, **kwargs)#
Formulate polynomial_features into gp_model.
Note that this function creates the output variables from the input variables.
- Parameters:
gp_model (gurobipy model) – The gurobipy model where polynomial features should be inserted.
polynomial_features (
sklearn.preprocessing.PolynomialFeatures) – The polynomial features to insert in gp_model.input_vars (mvar_array_like) – Decision variables used as input for polynomial features in model.
- Returns:
Object containing information about what was added to gp_model to insert the polynomial_features in it
- Return type:
Warning
Only polynomial features of degree 2 are supported.