class_docstr: Produces encoded labels for a BIO tagging based grouping formulation.
class_docstr_tok: ["Produces","encoded","labels","for","a","BIO","tagging","based","grouping","formulation","."]
code: def __init__(self, pad_token, bio_tagging=True):
      super().__init__(
          pad_token, bio_tagging=bio_tagging, group_tagging=True
      )
  
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 1 to create a new GroupSequenceLabelingEncoder object from inherited base classes: SequenceLabelingEncoder with example: obj = GroupSequenceLabelingEncoder(pad_token, bio_tagging)