Andrey Stebenkov

Error in `data_has_categorical_features` with supplementary_data

1

Возникает ошибка в функции [`data_has_categorical_features`](https://github.com/aimclub/FEDOT/blob/f02b6262adfbd1d7052e4456b953f2848f6cda42/fedot/core/data/data_preprocessing.py#L127), лог примерно такой :   Код для воспроизведения: ``` problem = 'classification' train = pd.read_csv(f'{fedot_project_root()}/cases/data/scoring/scoring_train.csv') test = pd.read_csv(f'{fedot_project_root()}/cases/data/scoring/scoring_test.csv') input_train = InputData( idx=np.arange(0, len(train.target)), features=np.array(train.drop(['target'],...

Launched Fedot with data including large categories features. Fedot tryied applying one-hot encoding at preprocessing, but it crashed with `MemoryError`. It include `raise ValueError` message with noninformative `fit_failed_info = '.'`...

RL AutoML based on MetaFEDOT

2

WIP

[BUG] Invalid name of module in requirements

1

Попытался установить зависимости и столкнулся с тем, что `torch_scatter` не устанавливает. Кажется там опечатка и должно быть `torch-scatter`, судя по [репозиторию модуля](https://github.com/rusty1s/pytorch_scatter) (если это он).

Updating dataset storage and loader class

1

Reuse [updating](https://github.com/aimclub/FEDOT/issues/1136) `InputData` from FEDOT to store dataset data in MetaFEDOT. Get rid of `DatasetData` and `CustomDataset`

Improving preprocessing

22

This is a 🔨 code refactoring. ## Summary Significant Updates in Data Storage and Preprocessing Major Updates: - **Enhanced logging:** Added more detailed logs in DEBUG mode during preprocessing. -...

## Summary TLDR: - Updating initial assumptions with boosting models; - Adding new evolutionary mutations connected with boosting models; - Allow the use of boosting model data with nan's. -...