text: // ******************************************************** 
  
  // This C++ code was automatically generated by ml2cpp (development version).
  // Copyright 2020
  
  // https://github.com/antoinecarme/ml2cpp
  // Model : DummyRegressor
  // Dataset : diabetes
  
  // This CPP code can be compiled using any C++-17 compiler.
  // g++ -Wall -Wno-unused-function -std=c++17 -g -o ml2cpp-demo_DummyRegressor_diabetes.exe ml2cpp-demo_DummyRegressor_diabetes.cpp
  
  // Model deployment code
  
  // ******************************************************** 
  
  #include "../../Generic.i"
  
  namespace  {
  
  	std::vector<std::string> get_input_names(){
  		std::vector<std::string> lFeatures = { "Feature_0", "Feature_1", "Feature_2", "Feature_3", "Feature_4", "Feature_5", "Feature_6", "Feature_7", "Feature_8", "Feature_9" };
  
  		return lFeatures;
  	}
  
  	std::vector<std::string> get_output_names(){
  		std::vector<std::string> lOutputs = { "Estimator" };
  
  		return lOutputs;
  	}
  
  	tTable compute_regression(std::any Feature_0, std::any Feature_1, std::any Feature_2, std::any Feature_3, std::any Feature_4, std::any Feature_5, std::any Feature_6, std::any Feature_7, std::any Feature_8, std::any Feature_9) {
  
  		tTable lTable;
  
  		std::any  lEstimator = 154.07365439093485;
  		lTable[ "Estimator" ] = { lEstimator };
  
  		return lTable;
  	}
  
  	tTable compute_model_outputs_from_table( tTable const & iTable) {
  		tTable lTable = compute_regression(iTable.at("Feature_0")[0], iTable.at("Feature_1")[0], iTable.at("Feature_2")[0], iTable.at("Feature_3")[0], iTable.at("Feature_4")[0], iTable.at("Feature_5")[0], iTable.at("Feature_6")[0], iTable.at("Feature_7")[0], iTable.at("Feature_8")[0], iTable.at("Feature_9")[0]);
  
  		return lTable;
  	}
  
  } // eof namespace 
  
  
  int main() {
  	score_csv_file("outputs/ml2cpp-demo/datasets/diabetes.csv");
  	return 0;
  }
  