class_docstr: Class for averaging note evaluations.
docstr: Format the evaluation metrics as a human readable string.
  
  Returns
  -------
  str
      Evaluation metrics formatted as a human readable string.
docstr_tok: ["Format","the","evaluation","metrics","as","a","human","readable","string",".","Returns","--","--","--","-","str","Evaluation","metrics","formatted","as","a","human","readable","string","."]
code: def tostring(self, **kwargs):
      """
      Format the evaluation metrics as a human readable string.
  
      Returns
      -------
      str
          Evaluation metrics formatted as a human readable string.
  
      """
      # format with floats instead of integers
      ret = ""
      if self.name is not None:
          ret += "%s\n  " % self.name
      ret += (
          "Notes: %5.2f TP: %5.2f FP: %5.2f FN: %5.2f "
          "Precision: %.3f Recall: %.3f F-measure: %.3f "
          "Acc: %.3f mean: %5.1f ms std: %5.1f ms"
          % (
              self.num_annotations,
              self.num_tp,
              self.num_fp,
              self.num_fn,
              self.precision,
              self.recall,
              self.fmeasure,
              self.accuracy,
              self.mean_error * 1000.0,
              self.std_error * 1000.0,
          )
      )
      return ret
  
imports: from __future__ import absolute_import, division, print_function
  import warnings
  import numpy
  from .None import evaluation_io, MultiClassEvaluation, SumEvaluation, MeanEvaluation
  from .onsets import onset_evaluation, OnsetEvaluation
  from ..io import load_notes
label_desc: Use image node_id 3 for calling the NoteMeanEvaluation obj's underlying member method code with example usage: obj.tostring() and returns: ret