class_docstr: Meter to calculate top-k video-level accuracy for single/multi label
     video classification task.
  
  Video-level accuarcy is computed by averaging clip-level predictions and
  compare the reslt with video-level groundtruth label.
class_docstr_tok: ["Meter","to","calculate","top-k","video-level","accuracy","for","single\/multi","label","video","classification","task",".","Video-level","accuarcy","is","computed","by","averaging","clip-level","predictions","and","compare","the","reslt","with","video-level","groundtruth","label","."]
code: def meter(self):
      return self._accuracy_meter
  
file_path: ClassyVision/classy_vision/meters/video_accuracy_meter.py
imports: from typing import Any, Dict, Sequence
  from classy_vision.generic.util import is_pos_int
  from classy_vision.meters.accuracy_meter import AccuracyMeter
  from .None import register_meter
  from .video_meter import VideoMeter
label_desc: Use image node_id 4 for calling the VideoAccuracyMeter obj's underlying member method code with example usage: obj.meter() and returns: self