class_docstr: Visualizer for graph prediction datasets.
class_docstr_tok: ["Visualizer","for","graph","prediction","datasets","."]
docstr: Checks whether this dataset can be visualized with this visualizer.
  
  See base class for more information.
  Args:
    ds_info: Metadata for the dataset.
  
  Returns:
    boolean value indicating whether the current visualizer can be used.
docstr_tok: ["Checks","whether","this","dataset","can","be","visualized","with","this","visualizer",".","See","base","class","for","more","information",".","Args",":","ds_info",":","Metadata","for","the","dataset",".","Returns",":","boolean","value","indicating","whether","the","current","visualizer","can","be","used","."]
code: def match(self, ds_info: dataset_info.DatasetInfo) -> bool:
      """Checks whether this dataset can be visualized with this visualizer.
  
      See base class for more information.
      Args:
        ds_info: Metadata for the dataset.
  
      Returns:
        boolean value indicating whether the current visualizer can be used.
      """
      graph_viz_metadata = _extract_metadata_dict(ds_info.metadata)
      return graph_viz_metadata is not None
  
file_path: datasets/tensorflow_datasets/core/visualization/graph_visualizer.py
imports: from __future__ import annotations
  from typing import Any, Callable, Dict, Optional, Union
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.core.visualization import visualizer
label_desc: Use image node_id 1 for calling the GraphVisualizer obj's underlying member method code with example usage: obj.match(ds_info) and returns: unknown