#include <algorithm>
#include <utility>
#include <limits>
#include "xgboost/json.h"
#include "gblinear_model.h"
namespace xgboost {
namespace gbm {
void GBLinearModel::SaveModel(Json* p_out) const {
auto& out = *p_out;
size_t const n_weights = weight.size();
F32Array j_weights{n_weights};
std::copy(weight.begin(), weight.end(), j_weights.GetArray().begin());
out["weights"] = std::move(j_weights);
out["boosted_rounds"] = Json{this->num_boosted_rounds};
}
void GBLinearModel::LoadModel(Json const& in) {
auto const& obj = get<Object const>(in);
auto weight_it = obj.find("weights");
if (IsA<F32Array>(weight_it->second)) {
auto const& j_weights = get<F32Array const>(weight_it->second);
weight.resize(j_weights.size());
std::copy(j_weights.begin(), j_weights.end(), weight.begin());
} else {
auto const& j_weights = get<Array const>(weight_it->second);
auto n_weights = j_weights.size();
weight.resize(n_weights);
for (size_t i = 0; i < n_weights; ++i) {
weight[i] = get<Number const>(j_weights[i]);
}
}
auto boosted_rounds = obj.find("boosted_rounds");
if (boosted_rounds != obj.cend()) {
this->num_boosted_rounds = get<Integer const>(boosted_rounds->second);
} else {
this->num_boosted_rounds = 0;
}
}
DMLC_REGISTER_PARAMETER(DeprecatedGBLinearModelParam);
} }