multilabel
scikit-learn cross validators for iterative stratification of multilabel data
Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
A package for splitting multilabel datasets into train and test sets, while preserving the distribution of labels and keeping samples from the same group together. Includes a report and chart for visualizing the stratification.
