explicit_gcv.h

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/*
 * Copyright 2021 MusicScience37 (Kenta Kabashima)
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#pragma once
 
#include <cmath>
 
#include "num_collect/opt/function_object_wrapper.h"
#include "num_collect/opt/heuristic_global_optimizer.h"
#include "num_collect/regularization/concepts/explicit_regularized_solver.h"
#include "num_collect/regularization/explicit_param_searcher_base.h"
 
namespace num_collect::regularization {
 
template <concepts::explicit_regularized_solver Solver>
class explicit_gcv_objective_function {
public:
    using solver_type = Solver;
 
    using scalar_type = typename solver_type::scalar_type;
 
    explicit explicit_gcv_objective_function(const solver_type& solver)
        : solver_(&solver) {}
 
    [[nodiscard]] auto operator()(const scalar_type& log_param) const
        -> scalar_type {
        using std::pow;
        const scalar_type param = pow(static_cast<scalar_type>(10),  // NOLINT
            log_param);
        return solver_->gcv(param);
    }
 
private:
    const solver_type* solver_;
};
 
template <concepts::explicit_regularized_solver Solver,
    template <typename> typename Optimizer = opt::heuristic_global_optimizer>
class explicit_gcv
    : public explicit_param_searcher_base<explicit_gcv<Solver, Optimizer>,
          Solver> {
public:
    using base_type =
        explicit_param_searcher_base<explicit_gcv<Solver, Optimizer>, Solver>;
 
    using typename base_type::data_type;
    using typename base_type::scalar_type;
    using typename base_type::solver_type;
 
    using optimizer_type =
        Optimizer<opt::function_object_wrapper<scalar_type(scalar_type),
            explicit_gcv_objective_function<solver_type>>>;
 
    explicit explicit_gcv(const solver_type& solver)
        : solver_(&solver),
          optimizer_(
              opt::make_function_object_wrapper<scalar_type(scalar_type)>(
                  explicit_gcv_objective_function<solver_type>(solver))) {}
 
    void search() {
        using std::log10;
        using std::pow;
        const auto [min_param, max_param] = solver_->param_search_region();
        const scalar_type log_min_param = log10(min_param);
        const scalar_type log_max_param = log10(max_param);
        optimizer_.init(log_min_param, log_max_param);
        optimizer_.solve();
        opt_param_ = pow(static_cast<scalar_type>(10),  // NOLINT
            optimizer_.opt_variable());
    }
 
    [[nodiscard]] auto opt_param() const -> scalar_type { return opt_param_; }
 
    void solve(data_type& solution) const {
        solver_->solve(opt_param_, solution);
    }
 
private:
    const solver_type* solver_;
 
    optimizer_type optimizer_;
 
    scalar_type opt_param_{};
};
 
}  // namespace num_collect::regularization