pyAutoAdaptiveRobustRegression

Auto Adaptive Robust Regression Python Package


Keywords
Auto, Adaptive, Robust, Regression
License
MIT
Install
pip install pyAutoAdaptiveRobustRegression==0.1.3

Documentation

pyAutoAdaptiveRobustRegression

Auto Adaptive Robust Regression Python Package

Description

This python package implements the Adaptive Gradient Descent, Adaptive Gradient Descent with Barzilai-Borwein Method and Adaptive Gradient Descent with Backtracking Method. It also includes the Huber Mean Estimation, Huber Covariance Matrix Estimation, Huber Regression and Adaptive Huber Regression from R library FarmTest, written by Xiaoou Pan.

Installation

This python package can be installed on Windows, Mac and Linux.

Install pyAutoAdaptiveRobustRegression with pip:

pip install pyAutoAdaptiveRobustRegression

Requirements on Linux and macOS

For Linux:

apt install armadillo openblas

For macOS:

brew install armadillo openblas

Functions

There are seven functions in this package:

  • agd: Adaptive Gradient Descent
  • agd_bb: Adaptive Gradient Descent with Barzilai-Borwein Method
  • agd_backtracking: Adaptive Gradient Descent with Backtracking Method
  • huber_mean: Huber Mean Estimation
  • huber_cov: Huber Covariance Matrix Estimation
  • huber_reg: Huber regression.
  • ada_huber_reg: Adaptive Huber regression

License

MIT

Author(s)

Yichi Zhang yichi.zhang@worc.ox.ac.uk, Qiang Sun qiang.sun@utoronto.ca