# draugr.torch_utilities.evaluation.cross_validation.cross_validation_generator

draugr.torch_utilities.evaluation.cross_validation.cross_validation_generator(*datasets: Dataset, n_splits: int = 10) → Tuple [Subset, Subset]

  Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the samples that it has just seen would have a perfect score but would fail to predict anything useful on yet-unseen data. This situation is called overfitting. To avoid it, it is common practice when performing a (supervised) machine learning experiment to hold out part of the available data as a test set