class_docstr: The pareto recommender recommends models by predicting their performance
  using a surrogate model and computing the Pareto front on the predictions.
class_docstr_tok: ["The","pareto","recommender","recommends","models","by","predicting","their","performance","using","a","surrogate","model","and","computing","the","Pareto","front","on","the","predictions","."]
code: def _get_performances(
      self, configs: List[Config[T]]
  ) -> List[Performance]:
      return self.surrogate.predict(configs)
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/recommender/pareto.py
imports: from typing import List, Optional
  from tsbench.config import Config
  from tsbench.evaluations.metrics import Performance
  from tsbench.surrogate import Surrogate
  from ._base import Recommender, T
  from ._factory import register_recommender
  from .generator import CandidateGenerator
label_desc: Use image node_id 5 for calling the ParetoRecommender obj's underlying member method code with example usage: obj._get_performances(configs) and returns: self