| 137 | print(string) |
| 138 | |
| 139 | def prepare_data(self): |
| 140 | self.adj = self.predata.adj |
| 141 | self.nfeat_dim = self.predata.nfeat_dim |
| 142 | self.features = self.predata.features |
| 143 | self.target = self.predata.target |
| 144 | self.nclass = self.predata.nclass |
| 145 | |
| 146 | self.train_lst, self.val_lst = train_test_split(self.predata.train_lst, |
| 147 | test_size=self.args.val_ratio, |
| 148 | shuffle=True, |
| 149 | random_state=self.args.seed) |
| 150 | self.test_lst = self.predata.test_lst |
| 151 | |
| 152 | def convert_tensor(self): |
| 153 | self.model = self.model.to(self.device) |