class_docstr: Compares two documents to solve a classification task.
  
  :param config: A :py:class:`finetune.config.Settings` object or None (for default config).
  :param \**kwargs: key-value pairs of config items to override.
class_docstr_tok: ["Compares","two","documents","to","solve","a","classification","task",".",":","param","config",":","A",":","py",":","class",":","`","finetune.config.Settings","`","object","or","None","(","for","default","config",")",".",":","param","\\","*","*","kwargs",":","key-value","pairs","of","config","items","to","override","."]
code: def _target_model(
      self,
      *,
      config,
      featurizer_state,
      targets,
      n_outputs,
      train=False,
      reuse=None,
      **kwargs,
  ):
      return super(Comparison, self)._target_model(
          config=config,
          featurizer_state=featurizer_state,
          targets=targets,
          n_outputs=n_outputs,
          train=train,
          reuse=reuse,
          **kwargs,
      )
  
imports: import numpy
  import tensorflow
  import copy
  from finetune.errors import FinetuneError
  from finetune.base import BaseModel
  from finetune.target_models.classifier import Classifier, ClassificationPipeline
  from finetune.encoding.input_encoder import EncodedOutput, tokenize_context
label_desc: Use image node_id 4 for calling the Comparison obj's underlying member method code with example usage: obj._target_model() and returns: super