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from .data import load_dataset, SEASONALITY_MAP
from .fit_model import fit_predict_with_model, MODEL_NAME_TO_CLASS
from .score import score_predictions
AVAILABLE_MODELS = list(MODEL_NAME_TO_CLASS.keys())
AVAILABLE_DATASETS = [
"car_parts_without_missing",
"cif_2016",
"covid_deaths",
"electricity_hourly",
"electricity_weekly",
"fred_md",
"hospital",
"kaggle_web_traffic_weekly",
"kdd_cup_2018_without_missing",
"m1_monthly",
"m1_quarterly",
"m1_yearly",
"m3_monthly",
"m3_other",
"m3_quarterly",
"m3_yearly",
"m4_daily",
"m4_hourly",
"m4_weekly",
"m4_yearly",
"m4_monthly",
"m4_quarterly",
"nn5_daily_without_missing",
"nn5_weekly",
"pedestrian_counts",
"tourism_monthly",
"tourism_quarterly",
"tourism_yearly",
"uber_tlc_without_missing",
]
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