func main() {
flag.Parse()
trainData := &pb.TrainingData{}
if err := parseToProto(*trainDataPath, trainData); err != nil {
glog.Fatal(err)
}
glog.Infof(
"Loaded %v training examples, %v test examples",
len(trainData.GetTrain()),
len(trainData.GetTest()))
config := &pb.ForestConfig{}
if err := parseToProto(*configPath, config); err != nil {
glog.Fatal(err)
}
glog.Infof("Loaded forest config %+v", config)
generator, err := dt.NewForestGenerator(config)
if err != nil {
glog.Fatal(err)
}
forest := generator.ConstructForest(trainData.GetTrain())
learningCurve := dt.LearningCurve(forest, trainData.GetTest())
glog.Infof("Learning curve: %+v", learningCurve)
serializedForest, err := json.MarshalIndent(forest, "", " ")
if err != nil {
glog.Fatal(err)
}
os.Stdout.Write(serializedForest)
}
func (m *MongoTrainer) runTraining(task *trainingTask) error {
dataSource, err := NewDataSource(task.row.GetDataSourceConfig(), m.Collection.Database.Session)
if err != nil {
return err
}
trainingData, err := dataSource.GetTrainingData()
if err != nil {
return err
}
generator, err := dt.NewForestGenerator(task.row.GetForestConfig())
if err != nil {
return err
}
task.row.Forest = generator.ConstructForest(trainingData.GetTrain())
task.row.TrainingResults = dt.LearningCurve(task.row.Forest, trainingData.GetTest())
return nil
}
