.. automodule:: skmatter .. raw:: html
Supervised and unsupervised selection methods based on CUR matrix decomposition and Farthest Point Sampling.
Utilises a combination between a PCA-like and a LR-like loss to determine the decomposition matrix to project feature into latent space
Error measures for quantifying the linear decodable information capacity between features