sakura.utils.data_splitter.DataSplitter

class sakura.utils.data_splitter.DataSplitter

Bases: object

Class for creating dataset splits using label-based grouping

Methods

auto_random_k_bin_labelling	Obtain a label vector containing 1~k for included points, 0 for not included points.
auto_random_k_fold_cv_split	Obtain 2*k split codes based on random K-Fold split, where train or test are labelled as 1 (corresp.).
auto_random_stratified_k_bin_labelling	(to be implemented)
get_incremental_select_unselect_split	Obtain a split code from label vector, points labelled from 1~k are considered as selected (1), otherwise not selected (0).
get_incremental_train_test_split	Obtain 2 split codes from label vector, points labelled from 1~k are considered as train (1 in first vector), rest of selected (non-zero) cells are test(1 in second vector), unselected points remain unchanged (0 in all vectors).
get_k_fold_cv_split	Obtain cross validation foldings directly from 1~k labels, 0 considered to be not selected