class_docstr: An ensembler using the voting method.
  
  Parameters
  ----------
  ensemble_size : int
      The number of base models selected by the voter. These selected models can be redundant. Default as 10.
class_docstr_tok: ["An","ensembler","using","the","voting","method",".","Parameters","--","--","--","--","--","ensemble_size",":","int","The","number","of","base","models","selected","by","the","voter",".","These","selected","models","can","be","redundant",".","Default","as","10","."]
code: def _eval(self, predictions, label, feval):
      pred_ensemble = self.ensemble(predictions, self.identifiers)
      return [fx.evaluate(pred_ensemble, label) for fx in feval]
  
file_path: AutoGL/autogl/module/ensemble/voting.py
imports: from collections import Counter
  import numpy
  from .base import BaseEnsembler
  from .None import register_ensembler
  from ...utils import get_logger
label_desc: Use image node_id 6 for calling the Voting obj's underlying member method code with example usage: obj._eval(predictions, label, feval) and returns: unknown