Regularization paths for MCP and SCAD penalized regression models
GPL-3.0 License
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadra...
A Julia package for robust regressions using M-estimators and quantile regressions
Implementation of a Partial Least Squares Regressor
Julia package of regularization functions for machine learning
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
WIP successor to Soss.jl
Optimization functions for Julia
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
A Julia package for disciplined convex programming
Simple & fast linear regression in Julia
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Data Structures for Optimization Models
Nonlinear regression in Julia
Linear Regression for Julia