class_docstr: Produces labels for a group relation model.
  
  Labels are of shape [n_groups, seq_len], where each element is a 0 or 1 and
  represents whether a token belongs to a certain group, and where the last
  group represents the pad group
class_docstr_tok: ["Produces","labels","for","a","group","relation","model",".","Labels","are","of","shape","[","n_groups",",","seq_len","]",",","where","each","element","is","a","0","or","1","and","represents","whether","a","token","belongs","to","a","certain","group",",","and","where","the","last","group","represents","the","pad","group"]
code: def inverse_transform(self, y):
      return y
  
imports: from abc import ABCMeta
  import logging
  import json
  import numpy
  from finetune.encoding.target_encoders import BaseEncoder, Seq2SeqLabelEncoder, SequenceLabelingEncoder
label_desc: Use image node_id 4 for calling the GroupRelationEncoder obj's underlying member method code with example usage: obj.inverse_transform(y) and returns: y