code: def _target_encoder(self):
      return MultilabelClassificationEncoder()
  
imports: import tensorflow
  import numpy
  from finetune.base import BaseModel
  from finetune.encoding.target_encoders import MultilabelClassificationEncoder
  from finetune.nn.target_blocks import multi_classifier
  from finetune.util.imbalance import compute_class_weights
  from finetune.input_pipeline import BasePipeline
label_desc: Use image node_id 2 for calling the MultilabelClassificationPipeline obj's underlying member method code with example usage: obj._target_encoder() and returns: MultilabelClassificationEncoder