Method ResetConfig

python-package/compile/src/c_api.cpp:175–209

  }

  void ResetConfig(const char* parameters) {
    std::lock_guard<std::mutex> lock(mutex_);
    auto param = Config::Str2Map(parameters);
    if (param.count("num_class")) {
      Log::Fatal("Cannot change num_class during training");
    }
    if (param.count("boosting")) {
      Log::Fatal("Cannot change boosting during training");
    }
    if (param.count("metric")) {
      Log::Fatal("Cannot change metric during training");
    }

    config_.Set(param);
    if (config_.num_threads > 0) {
      omp_set_num_threads(config_.num_threads);
    }

    if (param.count("objective")) {
      // create objective function
      objective_fun_.reset(ObjectiveFunction::CreateObjectiveFunction(config_.objective,
                                                                      config_));
      if (objective_fun_ == nullptr) {
        Log::Warning("Using self-defined objective function");
      }
      // initialize the objective function
      if (objective_fun_ != nullptr) {
        objective_fun_->Init(train_data_->metadata(), train_data_->num_data());
      }
      boosting_->ResetTrainingData(train_data_,
                                   objective_fun_.get(), Common::ConstPtrInVectorWrapper<Metric>(train_metric_));
    }

    boosting_->ResetConfig(&config_);
  }

  void AddValidData(const Dataset* valid_data) {
    std::lock_guard<std::mutex> lock(mutex_);