/lasso

implementation of paper (Accelerated Mini-batch Randomized Block Coordinate Descent Method) and linear regression method (Lasso)

Primary LanguagePython

This project is an implementation of paper (Tuo Zhao et al., Accelerated Mini-batch Randomized Block Coordinate Descent Method).

“Lasso” is a kind of linear regression method. Basic idea of “Lasso” is to minimize loss function with the constraint that the sum of absolute value of all coefficients is less than a certain positive number, such that coefficients corresponding to useless features will be equal to 0.