The 'group' parameter cannot be applied in the roles of the fit_predict function in TabularAutoML. about lightautoml

[alexmryzhkov]

Hi @yuuniee,

Thanks for the detailed description of the problem with the models validation. We will for sure take a look into it.

Alex

[screengreen]

Hi @yuuniee,

We checked correctness of CV split with the 'group' parameter. We tried several most popular task for it ['binary', 'multiclass', 'reg', 'multilevel'] and didn't find any issues.

what you tried to add "kwargs["group"] = train_data.loc[:, roles["group"]]" is implemented here:

LightAutoML/lightautoml/reader/base.py

Line 311 in b4ace0c

kwargs[attrs_dict[r.name]] = train_data.loc[:, feat]

if you want to examine it yourself, you can check the attached .ipynb file, that shows the 'group' parameter effect.
Tutorial_1_basics_check_group_parameter.ipynb.zip

if it doesn't solve your problem, please provide additional information

Andrew