code: def _predict_core(
      self, series: Sequence[TimeSeries]
  ) -> Sequence[TimeSeries]:
      return [
          TimeSeries.from_times_and_values(
              s.time_index,
              self.model.predict(
                  (s).all_values(copy=False).reshape(len(s), -1)
              ),
          )
          for s in series
      ]
  
file_path: darts/darts/ad/aggregators/ensemble_sklearn_aggregator.py
imports: from typing import Sequence
  import numpy
  from sklearn.ensemble import BaseEnsemble
  from darts import TimeSeries
  from darts.ad.aggregators.aggregators import FittableAggregator
  from darts.logging import raise_if_not
label_desc: Use image node_id 4 for calling the EnsembleSklearnAggregator obj's underlying member method code with example usage: obj._predict_core(series) and returns: unknown