LeaveOneSubGroupOut¶
-
class
museotoolbox.cross_validation.
LeaveOneSubGroupOut
(n_repeats=False, random_state=False, verbose=False)[source]¶ Generate a Cross-Validation by subgroup.
- Parameters
n_repeats (int or bool, optional (default=False)) – If False : will iterate as many times as the smallest number of groups. If int : will iterate the number of times given in n_splits.
random_state (integer or None, optional (default=False)) – If int, random_state is the seed used by the random number generator; If None, the random number generator is created with
time.time()
.verbose (integer or False, optional (default=False)) – Controls the verbosity: the higher the value is, the more the messages are detailed.
Manage cross-validation methods to generate the duo valid/train samples.
Methods
__init__
([n_repeats, random_state, verbose])Manage cross-validation methods to generate the duo valid/train samples.
get_n_splits
([X, y, groups])Returns the number of splitting iterations in the cross-validator.
save_to_vector
(vector, field[, group, …])Save to vector files each fold from the cross-validation.
split
(X, y[, groups])Split the vector/array according to y and groups.