(self, to_classify)
| 32 | self.y_train = training_labels |
| 33 | |
| 34 | def predict(self, to_classify): |
| 35 | predictions = [] |
| 36 | for row in to_classify: |
| 37 | label = self.closest(row) |
| 38 | predictions.append(label) |
| 39 | |
| 40 | return predictions |
| 41 | |
| 42 | iris = datasets.load_iris() |
| 43 |