# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"Scaler": "data__scalers.ipynb",
         "norm_scaler": "data__scalers.ipynb",
         "inv_norm_scaler": "data__scalers.ipynb",
         "norm1_scaler": "data__scalers.ipynb",
         "inv_norm1_scaler": "data__scalers.ipynb",
         "std_scaler": "data__scalers.ipynb",
         "inv_std_scaler": "data__scalers.ipynb",
         "median_scaler": "data__scalers.ipynb",
         "inv_median_scaler": "data__scalers.ipynb",
         "invariant_scaler": "data__scalers.ipynb",
         "inv_invariant_scaler": "data__scalers.ipynb",
         "BaseDataset": "data__tsdataset.ipynb",
         "BaseDataset.__getitem__": "data__tsdataset.ipynb",
         "BaseDataset.__len__": "data__tsdataset.ipynb",
         "BaseDataset.get_n_variables": "data__tsdataset.ipynb",
         "BaseDataset.get_n_series": "data__tsdataset.ipynb",
         "BaseDataset.get_max_len": "data__tsdataset.ipynb",
         "BaseDataset.get_n_channels": "data__tsdataset.ipynb",
         "BaseDataset.get_frequency": "data__tsdataset.ipynb",
         "get_default_mask_df": "data__tsdataset.ipynb",
         "TimeSeriesDataset": "data__tsdataset.ipynb",
         "TimeSeriesDataset.__getitem__": "data__tsdataset.ipynb",
         "WindowsDataset": "data__tsdataset.ipynb",
         "WindowsDataset.__getitem__": "data__tsdataset.ipynb",
         "TimeSeriesLoader": "data__tsloader.ipynb",
         "FastTimeSeriesLoader": "data__tsloader.ipynb",
         "FastTimeSeriesLoader.__iter__": "data__tsloader.ipynb",
         "FastTimeSeriesLoader.__next__": "data__tsloader.ipynb",
         "FastTimeSeriesLoader.__len__": "data__tsloader.ipynb",
         "create_synthetic_tsdata": "data__utils.ipynb",
         "NP": "data_datasets__epf.ipynb",
         "PJM": "data_datasets__epf.ipynb",
         "BE": "data_datasets__epf.ipynb",
         "FR": "data_datasets__epf.ipynb",
         "DE": "data_datasets__epf.ipynb",
         "EPFInfo": "data_datasets__epf.ipynb",
         "EPF": "data_datasets__epf.ipynb",
         "epf_naive_forecast": "data_datasets__epf.ipynb",
         "logger": "data_datasets__utils.ipynb",
         "check_nans": "data_datasets__favorita.ipynb",
         "Favorita": "data_datasets__favorita.ipynb",
         "GEFCom2012": "data_datasets__gefcom2012.ipynb",
         "GEFCom2012_L": "data_datasets__gefcom2012.ipynb",
         "GEFCom2012_W": "data_datasets__gefcom2012.ipynb",
         "Extended": "data_datasets__gefcom2014.ipynb",
         "Load": "data_datasets__gefcom2014.ipynb",
         "Price": "data_datasets__gefcom2014.ipynb",
         "Solar": "data_datasets__gefcom2014.ipynb",
         "Wind": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014Info": "data_datasets__gefcom2014.ipynb",
         "LoadTask1": "data_datasets__gefcom2014.ipynb",
         "LoadTask2": "data_datasets__gefcom2014.ipynb",
         "LoadTask3": "data_datasets__gefcom2014.ipynb",
         "LoadTask4": "data_datasets__gefcom2014.ipynb",
         "LoadTask5": "data_datasets__gefcom2014.ipynb",
         "LoadTask6": "data_datasets__gefcom2014.ipynb",
         "LoadTask7": "data_datasets__gefcom2014.ipynb",
         "LoadTask8": "data_datasets__gefcom2014.ipynb",
         "LoadTask9": "data_datasets__gefcom2014.ipynb",
         "LoadTask10": "data_datasets__gefcom2014.ipynb",
         "LoadTask11": "data_datasets__gefcom2014.ipynb",
         "LoadTask12": "data_datasets__gefcom2014.ipynb",
         "LoadTask13": "data_datasets__gefcom2014.ipynb",
         "LoadTask14": "data_datasets__gefcom2014.ipynb",
         "LoadTask15": "data_datasets__gefcom2014.ipynb",
         "LoadTask16": "data_datasets__gefcom2014.ipynb",
         "LOAD_START": "data_datasets__gefcom2014.ipynb",
         "LOAD_TASKS": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_L_Info": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_L": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_E": "data_datasets__gefcom2014.ipynb",
         "PriceTask1": "data_datasets__gefcom2014.ipynb",
         "PriceTask2": "data_datasets__gefcom2014.ipynb",
         "PriceTask3": "data_datasets__gefcom2014.ipynb",
         "PriceTask4": "data_datasets__gefcom2014.ipynb",
         "PriceTask5": "data_datasets__gefcom2014.ipynb",
         "PriceTask6": "data_datasets__gefcom2014.ipynb",
         "PriceTask7": "data_datasets__gefcom2014.ipynb",
         "PriceTask8": "data_datasets__gefcom2014.ipynb",
         "PriceTask9": "data_datasets__gefcom2014.ipynb",
         "PriceTask10": "data_datasets__gefcom2014.ipynb",
         "PriceTask11": "data_datasets__gefcom2014.ipynb",
         "PriceTask12": "data_datasets__gefcom2014.ipynb",
         "PriceTask13": "data_datasets__gefcom2014.ipynb",
         "PriceTask14": "data_datasets__gefcom2014.ipynb",
         "PriceTask15": "data_datasets__gefcom2014.ipynb",
         "PRICE_START": "data_datasets__gefcom2014.ipynb",
         "PRICE_TASKS": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_P_Info": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_P": "data_datasets__gefcom2014.ipynb",
         "WindTask1": "data_datasets__gefcom2014.ipynb",
         "WindTask2": "data_datasets__gefcom2014.ipynb",
         "WindTask3": "data_datasets__gefcom2014.ipynb",
         "WindTask4": "data_datasets__gefcom2014.ipynb",
         "WindTask5": "data_datasets__gefcom2014.ipynb",
         "WindTask6": "data_datasets__gefcom2014.ipynb",
         "WindTask7": "data_datasets__gefcom2014.ipynb",
         "WindTask8": "data_datasets__gefcom2014.ipynb",
         "WindTask9": "data_datasets__gefcom2014.ipynb",
         "WindTask10": "data_datasets__gefcom2014.ipynb",
         "WindTask11": "data_datasets__gefcom2014.ipynb",
         "WindTask12": "data_datasets__gefcom2014.ipynb",
         "WindTask13": "data_datasets__gefcom2014.ipynb",
         "WindTask14": "data_datasets__gefcom2014.ipynb",
         "WindTask15": "data_datasets__gefcom2014.ipynb",
         "WIND_START": "data_datasets__gefcom2014.ipynb",
         "WIND_TASKS": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_W_Info": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_W": "data_datasets__gefcom2014.ipynb",
         "SolarTask1": "data_datasets__gefcom2014.ipynb",
         "SolarTask2": "data_datasets__gefcom2014.ipynb",
         "SolarTask3": "data_datasets__gefcom2014.ipynb",
         "SolarTask4": "data_datasets__gefcom2014.ipynb",
         "SolarTask5": "data_datasets__gefcom2014.ipynb",
         "SolarTask6": "data_datasets__gefcom2014.ipynb",
         "SolarTask7": "data_datasets__gefcom2014.ipynb",
         "SolarTask8": "data_datasets__gefcom2014.ipynb",
         "SolarTask9": "data_datasets__gefcom2014.ipynb",
         "SolarTask10": "data_datasets__gefcom2014.ipynb",
         "SolarTask11": "data_datasets__gefcom2014.ipynb",
         "SolarTask12": "data_datasets__gefcom2014.ipynb",
         "SolarTask13": "data_datasets__gefcom2014.ipynb",
         "SolarTask14": "data_datasets__gefcom2014.ipynb",
         "SolarTask15": "data_datasets__gefcom2014.ipynb",
         "SOLAR_START": "data_datasets__gefcom2014.ipynb",
         "SOLAR_TASKS": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_S_Info": "data_datasets__gefcom2014.ipynb",
         "GEFCom2014_S": "data_datasets__gefcom2014.ipynb",
         "Yearly": "models_nbeats__ensemble.ipynb",
         "Quarterly": "models_nbeats__ensemble.ipynb",
         "Monthly": "models_nbeats__ensemble.ipynb",
         "Other": "data_datasets__m4.ipynb",
         "M3Info": "data_datasets__m3.ipynb",
         "M3": "data_datasets__m3.ipynb",
         "Weekly": "data_datasets__m4.ipynb",
         "Daily": "data_datasets__m4.ipynb",
         "Hourly": "data_datasets__m4.ipynb",
         "M4Info": "data_datasets__m4.ipynb",
         "M4": "data_datasets__m4.ipynb",
         "M4Evaluation": "data_datasets__m4.ipynb",
         "M5": "data_datasets__m5.ipynb",
         "M5Evaluation": "data_datasets__m5.ipynb",
         "TourismInfo": "data_datasets__tourism.ipynb",
         "Tourism": "data_datasets__tourism.ipynb",
         "download_file": "data_datasets__utils.ipynb",
         "Info": "data_datasets__utils.ipynb",
         "TimeSeriesDataclass": "data_datasets__utils.ipynb",
         "get_holiday_dates": "data_datasets__utils.ipynb",
         "holiday_kernel": "data_datasets__utils.ipynb",
         "create_calendar_variables": "data_datasets__utils.ipynb",
         "create_us_holiday_distance_variables": "data_datasets__utils.ipynb",
         "US_FEDERAL_HOLIDAYS": "data_datasets__utils.ipynb",
         "ENV_VARS": "experiments__utils.ipynb",
         "get_mask_dfs": "experiments__utils.ipynb",
         "get_random_mask_dfs": "experiments__utils.ipynb",
         "scale_data": "experiments__utils.ipynb",
         "create_datasets": "experiments__utils.ipynb",
         "instantiate_loaders": "experiments__utils.ipynb",
         "instantiate_nbeats": "experiments__utils.ipynb",
         "instantiate_esrnn": "experiments__utils.ipynb",
         "instantiate_mqesrnn": "experiments__utils.ipynb",
         "instantiate_model": "experiments__utils.ipynb",
         "model_fit_predict": "experiments__utils.ipynb",
         "evaluate_model": "experiments__utils.ipynb",
         "hyperopt_tunning": "experiments__utils.ipynb",
         "FONTSIZE": "losses__gw_test.ipynb",
         "Newey_West": "losses__gw_test.ipynb",
         "GW_CPA_test": "losses__gw_test.ipynb",
         "GW_test_pvals": "losses__gw_test.ipynb",
         "get_nbeatsx_cmap": "losses__gw_test.ipynb",
         "get_epftoolbox_cmap": "losses__gw_test.ipynb",
         "plot_GW_test_pvals": "losses__gw_test.ipynb",
         "divide_no_nan": "losses__pytorch.ipynb",
         "metric_protections": "losses__numpy.ipynb",
         "mape": "losses__numpy.ipynb",
         "mse": "losses__numpy.ipynb",
         "rmse": "losses__numpy.ipynb",
         "smape": "losses__numpy.ipynb",
         "mase": "losses__numpy.ipynb",
         "mae": "losses__numpy.ipynb",
         "pinball_loss": "losses__numpy.ipynb",
         "rmae": "losses__numpy.ipynb",
         "mqloss": "losses__numpy.ipynb",
         "MAPELoss": "losses__pytorch.ipynb",
         "MSELoss": "losses__pytorch.ipynb",
         "RMSELoss": "losses__pytorch.ipynb",
         "SMAPELoss": "losses__pytorch.ipynb",
         "MASELoss": "losses__pytorch.ipynb",
         "MAELoss": "losses__pytorch.ipynb",
         "PinballLoss": "losses__pytorch.ipynb",
         "LevelVariabilityLoss": "losses__pytorch.ipynb",
         "SmylLoss": "losses__pytorch.ipynb",
         "MQLoss": "losses__pytorch.ipynb",
         "wMQLoss": "losses__pytorch.ipynb",
         "LossFunction": "losses__utils.ipynb",
         "LossFunction.__call__": "losses__utils.ipynb",
         "Chomp1d": "models_components__common.ipynb",
         "CausalConv1d": "models_components__common.ipynb",
         "ACTIVATIONS": "models_nbeats__nbeats.ipynb",
         "TimeDistributed2d": "models_components__common.ipynb",
         "TimeDistributed3d": "models_components__common.ipynb",
         "RepeatVector": "models_components__common.ipynb",
         "L1Regularizer": "models_components__common.ipynb",
         "LSTMCell": "models_components__drnn.ipynb",
         "ResLSTMCell": "models_components__drnn.ipynb",
         "ResLSTMLayer": "models_components__drnn.ipynb",
         "AttentiveLSTMLayer": "models_components__drnn.ipynb",
         "DRNN": "models_components__drnn.ipynb",
         "ESRNN": "models_esrnn__esrnn.ipynb",
         "MQESRNN": "models_esrnn__mqesrnn.ipynb",
         "Naive": "models_naive2__naive2.ipynb",
         "SeasonalNaive": "models_naive2__naive2.ipynb",
         "detrend": "models_naive2__naive2.ipynb",
         "deseasonalize": "models_naive2__naive2.ipynb",
         "moving_averages": "models_naive2__naive2.ipynb",
         "seasonality_test": "models_naive2__naive2.ipynb",
         "acf": "models_naive2__naive2.ipynb",
         "Naive2": "models_naive2__naive2.ipynb",
         "common_grid": "models_nbeats__ensemble.ipynb",
         "lookbacks": "models_nbeats__ensemble.ipynb",
         "ensemble_grid": "models_nbeats__ensemble.ipynb",
         "print_models_list": "models_nbeats__ensemble.ipynb",
         "create_loaders_M4": "models_nbeats__ensemble.ipynb",
         "NBEATS_instantiate": "models_nbeats__ensemble.ipynb",
         "show_tensorboard": "models_nbeats__ensemble.ipynb",
         "NBEATSEnsemble": "models_nbeats__ensemble.ipynb",
         "IdentityBasis": "models_nbeats__nbeats.ipynb",
         "TrendBasis": "models_nbeats__nbeats.ipynb",
         "SeasonalityBasis": "models_nbeats__nbeats.ipynb",
         "ExogenousBasisInterpretable": "models_nbeats__nbeats.ipynb",
         "ExogenousBasisWavenet": "models_nbeats__nbeats.ipynb",
         "ExogenousBasisTCN": "models_nbeats__nbeats.ipynb",
         "init_weights": "models_nbeats__nbeats.ipynb",
         "NBEATS": "models_nbeats__nbeats.ipynb"}

modules = ["data/scalers.py",
           "data/tsdataset.py",
           "data/tsloader.py",
           "data/utils.py",
           "data/datasets/epf.py",
           "data/datasets/favorita.py",
           "data/datasets/gefcom2012.py",
           "data/datasets/gefcom2014.py",
           "data/datasets/m3.py",
           "data/datasets/m4.py",
           "data/datasets/m5.py",
           "data/datasets/tourism.py",
           "data/datasets/utils.py",
           "experiments/utils.py",
           "losses/gw_test.py",
           "losses/numpy.py",
           "losses/pytorch.py",
           "losses/utils.py",
           "models/components/common.py",
           "models/components/drnn.py",
           "models/components/tcn.py",
           "models/esrnn/esrnn.py",
           "models/esrnn/mqesrnn.py",
           "models/naive2/naive2.py",
           "models/nbeats/ensemble.py",
           "models/nbeats/nbeats.py"]

doc_url = "https://Nixtla.github.io/nixtlats/"

git_url = "https://github.com/Nixtla/nixtlats/tree/master/"

def custom_doc_links(name): return None
