docstr: A RegressionEnsembleModel is probabilistic if its regression
  model is probabilistic (ensembling layer)
docstr_tok: ["A","RegressionEnsembleModel","is","probabilistic","if","its","regression","model","is","probabilistic","(","ensembling","layer",")"]
code: def _is_probabilistic(self) -> bool:
      """
      A RegressionEnsembleModel is probabilistic if its regression
      model is probabilistic (ensembling layer)
      """
      return self.regression_model._is_probabilistic
  
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 10 for calling the RegressionEnsembleModel obj's underlying member method code with example usage: obj._is_probabilistic() and returns: self