class_docstr: Computes minimum label position.
code: def extract_output(self, accumulator: _State) -> Dict[str, Any]:
      if accumulator.weight_sum > 0:
          return {
              metric_keys.base_key(
                  "average_min_label_position/%s" % self._label_key
              ): accumulator.min_pos_sum
              / accumulator.weight_sum
          }
      return {}
  
file_path: model-analysis/tensorflow_model_analysis/evaluators/query_metrics/min_label_position.py
imports: from typing import Any, Dict, Iterable, NamedTuple
  import apache_beam
  from tensorflow_model_analysis.eval_saved_model import constants
  from tensorflow_model_analysis.eval_saved_model import util
  from tensorflow_model_analysis.evaluators.query_metrics import query_types
  from tensorflow_model_analysis.post_export_metrics import metric_keys
label_desc: Use image node_id 7 for calling the MinLabelPositionCombineFn obj's underlying member method code with example usage: obj.extract_output(accumulator) and returns: dict, dict