(self, param, num_rounds, dataset, alpha, lambd)
| 99 | ) |
| 100 | @settings(deadline=None, max_examples=20, print_blob=True) |
| 101 | def test_shotgun_regularised(self, param, num_rounds, dataset, alpha, lambd): |
| 102 | param['updater'] = 'shotgun' |
| 103 | param['alpha'] = alpha |
| 104 | param['lambda'] = lambd |
| 105 | param = dataset.set_params(param) |
| 106 | result = train_result(param, dataset.get_dmat(), num_rounds)['train'][dataset.metric] |
| 107 | note(result) |
| 108 | assert tm.non_increasing([result[0], result[-1]]) |
nothing calls this directly
no test coverage detected