本文整理匯總了Golang中github.com/xlvector/hector/algo.Regressor.Train方法的典型用法代碼示例。如果您正苦於以下問題：Golang Regressor.Train方法的具體用法？Golang Regressor.Train怎麽用？Golang Regressor.Train使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類github.com/xlvector/hector/algo.Regressor的用法示例。
在下文中一共展示了Regressor.Train方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Golang代碼示例。
示例1: RegAlgorithmRunOnDataSet
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
}示例2: RegAlgorithmTrain
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
}