docstr: Number of classes for each graph, i.e. number of prediction tasks.
docstr_tok: ["Number","of","classes","for","each","graph",",","i.e",".","number","of","prediction","tasks","."]
code: def num_classes(self):
      """Number of classes for each graph, i.e. number of prediction tasks."""
      return 2
  
file_path: dgl/examples/pytorch/gas/dataloader.py
imports: import os
  import dgl
  import numpy
  import scipy.io
  import torch
  from dgl.data import DGLBuiltinDataset
  from dgl.data.utils import _get_dgl_url, load_graphs, save_graphs
label_desc: Use image node_id 7 for calling the GASDataset obj's underlying member method code with example usage: obj.num_classes() and returns: int