classifier.py 文件源码

def train_model(self, train_file_path, model_path):
        print("==> Load the data ...")
        X_train, Y_train = self.load_file(train_file_path)
        print(train_file_path, shape(X_train))

        print("==> Train the model ...")
        min_max_scaler = preprocessing.MaxAbsScaler()
        X_train_minmax = min_max_scaler.fit_transform(X_train)

        clf = GradientBoostingRegressor(n_estimators=self.n_estimators)
        clf.fit(X_train_minmax.toarray(), Y_train)

        print("==> Save the model ...")
        pickle.dump(clf, open(model_path, 'wb'))

        scaler_path = model_path.replace('.pkl', '.scaler.pkl')
        pickle.dump(min_max_scaler, open(scaler_path, 'wb'))
        return clf