import matplotlib.pyplot as plt import os root_path = os.path.dirname(os.path.abspath('__file__')) from variables import multi_step_lags import sys sys.path.append(root_path) from models import multi_step_gbrt if __name__ == '__main__': multi_step_gbrt(root_path=root_path, station='Xianyang', decomposer='ssa', predict_pattern='forecast', llags_dict=variables['lags_dict'], model_id=1) plt.show()
import matplotlib.pyplot as plt import os root_path = os.path.dirname(os.path.abspath('__file__')) from variables import multi_step_lags import sys sys.path.append(root_path) from models import multi_step_gbrt if __name__ == '__main__': multi_step_gbrt(root_path=root_path, station='Zhangjiashan', decomposer='eemd', predict_pattern='forecast', llags_dict=variables['lags_dict'], model_id=1) plt.show()