Currently, there's no indication in the documentation for which datasets have standard cross-validation folds, or which are simply split into train / test.
Alternatively, it might be useful to think of a metadata attribute on the datasets:
from relational_datasets import get_metadata
get_metadata("toy_cancer")
{
'name': 'toy_cancer',
'folds': 1,
'modes': ['smokes(+person).', 'cancer(+person)', ...],
}Possibly related to: srlearn/datasets#11
Currently, there's no indication in the documentation for which datasets have standard cross-validation folds, or which are simply split into
train/test.Alternatively, it might be useful to think of a
metadataattribute on the datasets:Possibly related to: srlearn/datasets#11