Method PredictSingleRow

src/c_api.cpp:257–275

  }

  void PredictSingleRow(int num_iteration, int predict_type, int ncol,
               std::function<std::vector<std::pair<int, double>>(int row_idx)> get_row_fun,
               const Config& config,
               double* out_result, int64_t* out_len) {
    if (ncol != boosting_->MaxFeatureIdx() + 1) {
      Log::Fatal("The number of features in data (%d) is not the same as it was in training data (%d).", ncol, boosting_->MaxFeatureIdx() + 1);
    }
    std::lock_guard<std::mutex> lock(mutex_);
    if (single_row_predictor_[predict_type].get() == nullptr ||
        !single_row_predictor_[predict_type]->IsPredictorEqual(config, num_iteration, boosting_.get())) {
      single_row_predictor_[predict_type].reset(new SingleRowPredictor(predict_type, boosting_.get(),
                                                                       config, num_iteration));
    }
    auto one_row = get_row_fun(0);
    auto pred_wrt_ptr = out_result;
    single_row_predictor_[predict_type]->predict_function(one_row, pred_wrt_ptr);

    *out_len = single_row_predictor_[predict_type]->num_pred_in_one_row;
  }


  void Predict(int num_iteration, int predict_type, int nrow, int ncol,