Ejemplo n.º 1
0
/* Regression */
func RegAlgorithmRun(regressor algo.Regressor, train_path string, test_path string, pred_path string, params map[string]string) (float64, []*eval.RealPrediction, error) {
	global, _ := strconv.ParseInt(params["global"], 10, 64)
	train_dataset := core.NewRealDataSet()

	err := train_dataset.Load(train_path, global)

	if err != nil {
		return 0.5, nil, err
	}

	test_dataset := core.NewRealDataSet()
	err = test_dataset.Load(test_path, global)
	if err != nil {
		return 0.5, nil, err
	}
	regressor.Init(params)
	rmse, predictions := RegAlgorithmRunOnDataSet(regressor, train_dataset, test_dataset, pred_path, params)

	return rmse, predictions, nil
}
Ejemplo n.º 2
0
func RegAlgorithmTest(regressor algo.Regressor, test_path string, pred_path string, params map[string]string) (float64, []*eval.RealPrediction, error) {
	global, _ := strconv.ParseInt(params["global"], 10, 64)

	model_path, _ := params["model"]
	regressor.Init(params)
	if model_path != "" {
		regressor.LoadModel(model_path)
	} else {
		return 0.0, nil, nil
	}

	test_dataset := core.NewRealDataSet()
	err := test_dataset.Load(test_path, global)
	if err != nil {
		return 0.0, nil, err
	}

	rmse, predictions := RegAlgorithmRunOnDataSet(regressor, nil, test_dataset, pred_path, params)

	return rmse, predictions, nil
}
Ejemplo n.º 3
0
func RegAlgorithmTrain(regressor algo.Regressor, train_path string, params map[string]string) error {
	global, _ := strconv.ParseInt(params["global"], 10, 64)
	train_dataset := core.NewRealDataSet()

	err := train_dataset.Load(train_path, global)

	if err != nil {
		return err
	}

	regressor.Init(params)
	regressor.Train(train_dataset)

	model_path, _ := params["model"]

	if model_path != "" {
		regressor.SaveModel(model_path)
	}

	return nil
}