[ADD] Search statistics #332
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Codecov Report
@@ Coverage Diff @@
## development #332 +/- ##
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- Coverage 82.01% 76.65% -5.37%
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Files 152 154 +2
Lines 8674 9376 +702
Branches 1325 1441 +116
===============================================
+ Hits 7114 7187 +73
- Misses 1093 1718 +625
- Partials 467 471 +4
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Collaborator
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All the commits did NOT change your files. |
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| import io | |||
Collaborator
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Basically, the suggestions in this file and suggestion_base_task.py tell you what fixes we should make.
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| import copy | |||
Collaborator
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Please compare using something like diff.
The changes are some deletions.
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| assert 'lr_scheduler' in X | ||
| if isinstance(pipeline.named_steps['lr_scheduler'].choice, NoScheduler): | ||
| pytest.skip("This scheduler does not support `get_scheduler`") | ||
| lr_scheduler = pipeline.named_steps['lr_scheduler'].choice.get_scheduler() | ||
| if isinstance(lr_scheduler, torch.optim.lr_scheduler.ReduceLROnPlateau): | ||
| pytest.skip("This scheduler is not a child of _LRScheduler") | ||
| assert isinstance(lr_scheduler, _LRScheduler) |
Collaborator
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Is this related to this PR? (just a question, because I am confused)
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| def make_dict_run_history_data(data): | ||
| run_history_data = dict() | ||
| for row in data: | ||
| run_key = RunKey( | ||
| config_id=row[0][0], | ||
| instance_id=row[0][1], | ||
| seed=row[0][2], | ||
| budget=row[0][3]) | ||
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| run_value = RunValue( | ||
| cost=row[1][0], | ||
| time=row[1][1], | ||
| status=StatusType.SUCCESS if 'SUCCESS' in row[1][2]['__enum__'] else StatusType.RUNNING, | ||
| starttime=row[1][3], | ||
| endtime=row[1][4], | ||
| additional_info=row[1][5], | ||
| ) | ||
| run_history_data[run_key] = run_value | ||
| return run_history_data |
Collaborator
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Let me make this test case stronger tomorrow.
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| from ConfigSpace.configuration_space import ConfigurationSpace | |||
Collaborator
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This part as well, is this related to the PR? (I am confused)
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| def test_search_results_sprint_statistics(): | ||
| api = BaseTask() | ||
| run_history_data = json.load(open(os.path.join(os.path.dirname(__file__), | ||
| '.tmp_api/runhistory.json'), | ||
| mode='r'))['data'] | ||
| api.run_history = MagicMock() | ||
| api.run_history.empty = MagicMock(return_value=False) | ||
| api.run_history.data = make_dict_run_history_data(run_history_data) | ||
| api._metric = accuracy | ||
| api.dataset_name = 'iris' | ||
| api._scoring_functions = [accuracy, balanced_accuracy] | ||
| api.search_space = MagicMock(spec=ConfigurationSpace) | ||
| search_results = api.search_results_ | ||
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| # assert that contents of search_results are of expected types | ||
| assert isinstance(search_results['mean_opt_scores'], np.ndarray) | ||
| assert search_results['mean_opt_scores'].dtype is np.dtype(np.float) | ||
| assert isinstance(search_results['mean_fit_times'], np.ndarray) | ||
| assert search_results['mean_fit_times'].dtype is np.dtype(np.float) | ||
| assert isinstance(search_results['metric_accuracy'], list) | ||
| assert search_results['metric_accuracy'][0] > 0 | ||
| assert isinstance(search_results['metric_balanced_accuracy'], list) | ||
| assert search_results['metric_balanced_accuracy'][0] > 0 | ||
| assert isinstance(search_results['params'], list) | ||
| assert isinstance(search_results['rank_test_scores'], np.ndarray) | ||
| assert search_results['rank_test_scores'].dtype is np.dtype(np.int) | ||
| assert isinstance(search_results['status'], list) | ||
| assert isinstance(search_results['status'][0], str) | ||
| assert isinstance(search_results['budgets'], list) | ||
| assert isinstance(search_results['budgets'][0], float) | ||
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| assert isinstance(api.sprint_statistics(), str) | ||
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I will make this test stronger tomorrow.
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Addresses #326.