--- title: M4 Ensemble keywords: fastai sidebar: home_sidebar nb_path: "nbs/models_nbeats__ensemble.ipynb" ---
# from google.colab import drive
# drive.mount('/content/drive')
# os.chdir('./drive/MyDrive/nixtlats')
# print(os.getcwd())
# !pip install torchinfo
# !pip install fastcore
# !pip install s3fs
# !pip install patool
# !pip install --upgrade pandas==1.2.4
# !pip install --upgrade requests==2.25.1
# val_freq_steps = 2
# tensorboard_logs = True
# NUM_WORKERS = 4
# frequencies = [Yearly]
# print_models_list(frequencies=frequencies, table_width=75)
# gpus=-1 if torch.cuda.is_available() else None,
# auto_select_gpus=True if torch.cuda.is_available() else False)
# forecasts = ensemble.fit(frequencies=frequencies,
# loader=TimeSeriesLoader,
# val_freq_steps=val_freq_steps,
# tensorboard_logs=tensorboard_logs,
# logs_path=LOGS_PATH,
# num_workers=NUM_WORKERS)