Multilabel classification -- scikit-learn 0.18.1 documentation

This example simulates a multi-label document classification problem. In the above process, rejection sampling is used to make sure that n is more than 2, and that the document length is never zero. Likewise, we reject classes which have already been chosen. The documents that are assigned to both classes are plotted surrounded by two colored circles. Note that PCA is used to perform an unsupervised dimensionality reduction, while CCA is used to perform a supervised one.