# create list with seasonal exogenous features
EXOGENOUS_FAETURES = [x for x in df.columns if ('week_' in x) | ('month_' in x)]

timegpt_fcst_ex_vars_df = timegpt.forecast(
    df=forecast_df[['unique_id', 'delivery_week', 'target', 'marketing_events_1', 'marketing_events_2']+EXOGENOUS_FAETURES],
    time_col='delivery_week',
    target_col='target',
    X_df=holdout_df[['unique_id', 'delivery_week', 'marketing_events_1', 'marketing_events_2']+EXOGENOUS_FAETURES],
    date_features=[CountryHolidays(['US'])],
    h=17,
    level=[80],
    freq='W-MON',
    id_col='unique_id',
    model='timegpt-1',
    add_history=True,
    )