xgboost_lib-sys 3.0.5

Native bindings to the xgboost library
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/**
 * Copyright 2022-2024, XGBoost Contributors
 *
 * \brief Utilities for estimating initial score.
 */

#ifndef XGBOOST_TREE_FIT_STUMP_H_
#define XGBOOST_TREE_FIT_STUMP_H_

#include <algorithm>  // std::max

#include "xgboost/base.h"     // GradientPair
#include "xgboost/context.h"  // Context
#include "xgboost/data.h"     // MetaInfo
#include "xgboost/linalg.h"   // TensorView

namespace xgboost {
namespace tree {

template <typename T>
XGBOOST_DEVICE inline double CalcUnregularizedWeight(T sum_grad, T sum_hess) {
  return -sum_grad / std::max(sum_hess, static_cast<double>(kRtEps));
}

/**
 * @brief Fit a tree stump as an estimation of base_score.
 */
void FitStump(Context const* ctx, MetaInfo const& info, linalg::Matrix<GradientPair> const& gpair,
              bst_target_t n_targets, linalg::Vector<float>* out);
}  // namespace tree
}  // namespace xgboost
#endif  // XGBOOST_TREE_FIT_STUMP_H_