func RegAlgorithmRunOnDataSet(regressor algo.Regressor, train_dataset, test_dataset *core.RealDataSet, pred_path string, params map[string]string) (float64, []*eval.RealPrediction) {
if train_dataset != nil {
regressor.Train(train_dataset)
}
predictions := []*eval.RealPrediction{}
var pred_file *os.File
if pred_path != "" {
pred_file, _ = os.Create(pred_path)
}
for _, sample := range test_dataset.Samples {
prediction := regressor.Predict(sample)
if pred_file != nil {
pred_file.WriteString(strconv.FormatFloat(prediction, 'g', 5, 64) + "\n")
}
predictions = append(predictions, &eval.RealPrediction{Value: sample.Value, Prediction: prediction})
}
if pred_path != "" {
defer pred_file.Close()
}
rmse := eval.RegRMSE(predictions)
return rmse, predictions
}
