Scikit learn compatible constrained and robust polynomial regression in Python
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Updated
Nov 20, 2021 - Python
Scikit learn compatible constrained and robust polynomial regression in Python
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)
Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019
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