class_docstr: A handler class for implementing `MixUp` style scheduling
class_docstr_tok: ["A","handler","class","for","implementing","`","MixUp","`","style","scheduling"]
docstr: If fit is canceled, still set the loss function back
docstr_tok: ["If","fit","is","canceled",",","still","set","the","loss","function","back"]
code: def after_cancel_fit(self):
      "If fit is canceled, still set the loss function back"
      self.after_train()
  
imports: from __future__ import annotations
  from ..basics import *
  from torch.distributions.beta import Beta
label_desc: Use image node_id 5 for calling the MixHandler obj's underlying member method code with example usage: obj.after_cancel_fit() without return types