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When I am trying to fit AutoXGBoost i keep getting an error but I do not know where to put in the argument: ValueError: DataFrame.dtypes for data must be int, float, bool or category. When categorical type is supplied, the experimental DMatrix parameter`enable_categorical` must be set to `True`.  Invalid columns:unique_id: category
[W 2025-03-03 14:18:02,388] Trial 0 failed with value None. This is the code: ### MLForecast

auto_mlf = AutoMLForecast(
    freq="ME",
    season_length=12,
    models={
        'xgb': AutoXGBoost()
    },
     fit_config=lambda trial: {'static_features': ['unique_id']}
)
auto_mlf.fit(
    df=filtered_df,
    n_windows=n_windows,
    h=h,
    step_size=step_size,
    fitted=True,
    num_samples=20
    # filter_for_unique_prediction_period=filter_for_unique_prediction_period,
    # log_transformation=log_transformation
)