code: def __init__(
      self,
      average: str = None,
      labels: List[int] = None,
      threshold: float = 0.5,
  ) -> None:
      super().__init__(1.0, average, labels, threshold)
  
file_path: allennlp/allennlp/training/metrics/fbeta_multi_label_measure.py
imports: from typing import List, Optional
  import torch
  from allennlp.training.metrics import FBetaMeasure
  from allennlp.training.metrics.metric import Metric
  from allennlp.nn.util import dist_reduce_sum
label_desc: Use image node_id 1 to create a new F1MultiLabelMeasure object from inherited base classes: FBetaMultiLabelMeasure with example: obj = F1MultiLabelMeasure(average, labels, threshold)