class_docstr: Class representing an ensemble of multiple forecasting models.
class_docstr_tok: ["Class","representing","an","ensemble","of","multiple","forecasting","models","."]
code: def require_even_sampling(self) -> bool:
      return False
  
imports: import logging
  import traceback
  from typing import List, Optional, Tuple, Union
  import pandas
  from merlion.evaluate.forecast import ForecastEvaluator, ForecastEvaluatorConfig
  from merlion.models.ensemble.base import EnsembleConfig, EnsembleTrainConfig, EnsembleBase
  from merlion.models.ensemble.combine import Mean
  from merlion.models.forecast.base import ForecasterBase, ForecasterExogConfig, ForecasterExogBase
  from merlion.utils.time_series import TimeSeries
label_desc: Use image node_id 2 for calling the ForecasterEnsemble obj's underlying member method code with example usage: obj.require_even_sampling() and returns: False