code: def supports_multivariate(self) -> bool:
      return (
          super().supports_multivariate
          and self.regression_model.supports_multivariate
      )
  
file_path: darts/darts/models/forecasting/regression_ensemble_model.py
imports: from typing import List, Optional, Sequence, Tuple, Union
  from darts.logging import get_logger, raise_if, raise_if_not
  from darts.models.forecasting.ensemble_model import EnsembleModel
  from darts.models.forecasting.forecasting_model import ForecastingModel
  from darts.models.forecasting.linear_regression_model import LinearRegressionModel
  from darts.models.forecasting.regression_model import RegressionModel
  from darts.timeseries import TimeSeries, concatenate
  from darts.utils.utils import seq2series, series2seq
label_desc: Use image node_id 9 for calling the RegressionEnsembleModel obj's underlying member method code with example usage: obj.supports_multivariate() and returns: unknown