Class SplitInfo

src/treelearner/split_info.hpp:22–193

! * \brief Used to store some information for gain split point */

* \brief Used to store some information for gain split point
*/
struct SplitInfo {
 public:
  /*! \brief Feature index */
  int feature = -1;
  /*! \brief Split threshold */
  uint32_t threshold = 0;
  /*! \brief Left number of data after split */
  data_size_t left_count = 0;
  /*! \brief Right number of data after split */
  data_size_t right_count = 0;
  int num_cat_threshold = 0;
  /*! \brief Left output after split */
  double left_output = 0.0;
  /*! \brief Right output after split */
  double right_output = 0.0;
  /*! \brief Split gain */
  double gain = kMinScore;
  /*! \brief Left sum gradient after split */
  double left_sum_gradient = 0;
  /*! \brief Left sum hessian after split */
  double left_sum_hessian = 0;
  /*! \brief Right sum gradient after split */
  double right_sum_gradient = 0;
  /*! \brief Right sum hessian after split */
  double right_sum_hessian = 0;
  std::vector<uint32_t> cat_threshold;
  /*! \brief True if default split is left */
  bool default_left = true;
  int8_t monotone_type = 0;
  double min_constraint = -std::numeric_limits<double>::max();
  double max_constraint = std::numeric_limits<double>::max();
  inline static int Size(int max_cat_threshold) {
    return 2 * sizeof(int) + sizeof(uint32_t) + sizeof(bool) + sizeof(double) * 9 + sizeof(data_size_t) * 2 + max_cat_threshold * sizeof(uint32_t) + sizeof(int8_t);
  }

  inline void CopyTo(char* buffer) const {
    std::memcpy(buffer, &feature, sizeof(feature));
    buffer += sizeof(feature);
    std::memcpy(buffer, &left_count, sizeof(left_count));
    buffer += sizeof(left_count);
    std::memcpy(buffer, &right_count, sizeof(right_count));
    buffer += sizeof(right_count);
    std::memcpy(buffer, &gain, sizeof(gain));
    buffer += sizeof(gain);
    std::memcpy(buffer, &threshold, sizeof(threshold));
    buffer += sizeof(threshold);
    std::memcpy(buffer, &left_output, sizeof(left_output));
    buffer += sizeof(left_output);
    std::memcpy(buffer, &right_output, sizeof(right_output));
    buffer += sizeof(right_output);
    std::memcpy(buffer, &left_sum_gradient, sizeof(left_sum_gradient));
    buffer += sizeof(left_sum_gradient);
    std::memcpy(buffer, &left_sum_hessian, sizeof(left_sum_hessian));
    buffer += sizeof(left_sum_hessian);
    std::memcpy(buffer, &right_sum_gradient, sizeof(right_sum_gradient));
    buffer += sizeof(right_sum_gradient);
    std::memcpy(buffer, &right_sum_hessian, sizeof(right_sum_hessian));
    buffer += sizeof(right_sum_hessian);