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ridge-regression's Introduction

Ridge Regression

Linear regression with regularization, with the regularization parameter estimated from cross-validation.

Function y = f(x) = x2 + 10 to create a random sample (xj, yj) (training data) of size 12 (that is, j = 1 to 12), by uniform random sampling of x in -2 <= x <= 10.

Installation

See https://pipenv.readthedocs.io/en/latest/install/#installing-pipenv to install pipenv, if you do not have it.

Usage

To run this program:

pipenv run python main.py

Credits

  • Abu-Mostafa, Yaser S. Learning from Data: a Short Course. AMLBooks, 2012.

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