func MultiClassRunOnDataSet(classifier algo.MultiClassClassifier, train_dataset, test_dataset *core.DataSet, pred_path string, params map[string]string) float64 {
if train_dataset != nil {
classifier.Train(train_dataset)
}
var pred_file *os.File
if pred_path != "" {
pred_file, _ = os.Create(pred_path)
}
accuracy := 0.0
total := 0.0
for _, sample := range test_dataset.Samples {
prediction := classifier.PredictMultiClass(sample)
label, _ := prediction.KeyWithMaxValue()
if int(label) == sample.Label {
accuracy += 1.0
}
total += 1.0
if pred_file != nil {
pred_file.WriteString(strconv.Itoa(label) + "\n")
}
}
if pred_path != "" {
defer pred_file.Close()
}
return accuracy / total
}
