(self, validation_sample_distribution)
| 242 | return train_labels |
| 243 | |
| 244 | def createValidationLabels(self, validation_sample_distribution): |
| 245 | vlist = [] |
| 246 | for i in range(len(validation_sample_distribution)): |
| 247 | vlist += ([i] * validation_sample_distribution[i]) |
| 248 | validation_labels = np.array(vlist) |
| 249 | return validation_labels |
| 250 | |
| 251 | def checkDataNumber(self, trainNum, validationNum): |
| 252 | if trainNum % self.batch_size != 0: |