class_docstr: Class for averaging Chord evaluation scores, considering the lengths
  of the pieces. For a detailed description of the available metrics,
  refer to ChordEvaluation.
  
  Parameters
  ----------
  eval_objects : list
      Evaluation objects.
  name : str, optional
      Name to be displayed.
class_docstr_tok: ["Class","for","averaging","Chord","evaluation","scores",",","considering","the","lengths","of","the","pieces",".","For","a","detailed","description","of","the","available","metrics",",","refer","to","ChordEvaluation",".","Parameters","--","--","--","--","--","eval_objects",":","list","Evaluation","objects",".","name",":","str",",","optional","Name","to","be","displayed","."]
code: def segmentation(self):
      return self._seg
  
imports: import numpy
  from .None import evaluation_io, EvaluationMixin
  from ..io import load_chords
label_desc: Use image node_id 3 for calling the ChordSumEvaluation obj's underlying member method code with example usage: obj.segmentation() and returns: self