class_docstr: Base class for heterogeneous ensemble forecasters.
class_docstr_tok: ["Base","class","for","heterogeneous","ensemble","forecasters","."]
docstr: Collect results from forecaster.predict() calls.
docstr_tok: ["Collect","results","from","forecaster.predict","(",")","calls","."]
code: def _predict_forecasters(self, fh=None, X=None):
      """Collect results from forecaster.predict() calls."""
      return [
          forecaster.predict(fh=fh, X=X)
          for forecaster in self.forecasters_
      ]
  
file_path: sktime/sktime/forecasting/base/_meta.py
imports: from joblib import Parallel, delayed
  from sktime.base import _HeterogenousMetaEstimator
  from sktime.forecasting.base._base import BaseForecaster
label_desc: Use image node_id 4 for calling the _HeterogenousEnsembleForecaster obj's underlying member method code with example usage: obj._predict_forecasters(fh, X) and returns: unknown