Auto-sklearn baseline v1 #32
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…TMO-NSS-team/meta-automl-research into auto-sklearn_run
Automl baseline
MorrisNein
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Выполнил rebase ветки main на базовую. Не ожидал, что приведёт к такому количеству конфликтов. @algormx, доверите мне разрешение конфликтов между ветками? |
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| # autosklearn_ensemble = pipeline.show_models() | ||
| # formatted_ensemble = { | ||
| # model_id: { | ||
| # 'rank': autosklearn_ensemble[model_id].get('rank'), | ||
| # 'cost': float(f"{autosklearn_ensemble[model_id].get('cost'):.3f}"), | ||
| # 'ensemble_weight': autosklearn_ensemble[model_id].get('ensemble_weight'), | ||
| # 'model': autosklearn_ensemble[model_id].get('sklearn_classifier') | ||
| # } for model_id in autosklearn_ensemble.keys() | ||
| # } |
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Комментарии с кодом лучше не добавлять в git, если они не служат для понимания остального кода. Можно сделать stash этих изменений, если есть необходимость их сохранить
Аналогично для остального закомментированного кода
| .parse_datasets('test') | ||
| .loc[:, 'dataset_id'] | ||
| ] | ||
| # dataset_ids_to_load = [dataset_ids_to_load[dataset_ids_to_load.index(41166)]] |
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Можно убрать комментарий
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Этот файл точно нужен в git фреймворка?
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Аналогично, нужен ли этот файл в git?
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