class_docstr: Reports F1 Score for a target class.
class_docstr_tok: ["Reports","F1","Score","for","a","target","class","."]
code: def result(self) -> tf.Tensor:
      return super().result()[self.target_class]
  
imports: import gc
  import os
  import re
  from typing import Any, Dict, Optional, Tuple
  import warnings
  from absl import app
  from absl import flags
  from absl import logging
  from ml_collections.config_flags import config_flags
  import tensorflow
  import tensorflow_addons
  from deepvariant import data_providers
  from deepvariant import dv_constants
  from deepvariant import dv_utils
  from deepvariant import keras_modeling
  from deepvariant.average_model_checkpoint_patched import AverageModelCheckpointPatched
  from third_party.nucleus.io import sharded_file_utils
  from official.modeling import optimization
label_desc: Use image node_id 2 for calling the F1ScorePerClass obj's underlying member method code with example usage: obj.result() and returns: super