Issue with excluded_model_types with AutoGluon

autogluon_forecast.py

import pandas as pd

from autogluon.timeseries import TimeSeriesPredictor, TimeSeriesDataFrame

# Load the data into a TimeSeriesDataFrame
df = pd.read_csv(
    "m4_hourly.csv",
    parse_dates=["Date"],
)
ts_dataframe = TimeSeriesDataFrame.from_data_frame(
    df,
    id_column="M4id",  # name of the column with unique ID of each time series
    timestamp_column="Date",  # name of the column with timestamps of observations
)

# Create & fit the predictor
predictor = TimeSeriesPredictor(
    path="autogluon-m4-hourly",  # models will be saved in this folder
    target="Value",  # name of the column with time series values
    prediction_length=48,  # number of steps into the future to predict
    eval_metric="MAPE",  # other options: "MASE", "sMAPE", "mean_wQuantileLoss", "MSE", "RMSE"
).fit(
    train_data=ts_dataframe,
    presets="fast_training",  # other options: "fast_training", "high_quality", "best_quality"
    time_limit=30,  # training time in seconds
    excluded_model_types=["ETS"]
)

# Generate the forecasts
predictions = predictor.predict(ts_dataframe)
out = predictions.head
print(out)