code: def _compute(self, *args, **kwargs):
      fbeta = FBeta(
          *args, **kwargs, make_deterministic=self.make_deterministic
      )
      fbeta.update(self.predictions, self.targets)
      return fbeta.compute()
  
imports: from unittest import TestCase
  import numpy
  import torch
  import torch.nn
  from poutyne import F1, BinaryF1, FBeta, Model
label_desc: Use image node_id 15 for calling the BaseFBetaTest obj's underlying member method code with example usage: obj._compute() and returns: fbeta