tabensemb.model.CatEmbed._generate_dataset_from_tensors#

method

CatEmbed._generate_dataset_from_tensors(tensors, df, derived_data, model_name)#

Perform the same preprocessing as in _generate_dataset() on a new dataset.

Parameters:
tensors

Tensors that has the same structures as those stored in a tabensemb.data.datamodule.DataModule and obtained by tabensemb.data.datamodule.DataModule.update_dataset().

df

The transformed dataset after running _run_custom_data_module().

derived_data

The derived unstacked data after running _run_custom_data_module()

model_name

The name of the selected model.

Returns:
torch.utils.data.Dataset