numpy-linreg

Linear Regression with numpy only.

Installation

The numpy-linreg git repo is available as PyPi package

pip install numpy-linreg
pip install git+ssh://git@github.com/ulf1/numpy-linreg.git

Usage

Ridge Regression

import numpy_linreg.ridge as ridge
import numpy_linreg.metrics as metrics
beta = ridge.lu(y, X)
rmse = metrics.rmse(y, X, beta)

OLS Regression

import numpy_linreg.ols as ols
beta = ols.lu(y, X)
beta = ols.pinv(y, X)
beta = ols.qr(y, X)
beta = ols.svd(y, X)

Check the examples folder for notebooks.

Appendix

Commands

Install a virtual environment

python3.6 -m venv .venv
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements.txt
pip3 install -r requirements-dev.txt
pip3 install -r requirements-demo.txt

(If your git repo is stored in a folder with whitespaces, then don’t use the subfolder .venv. Use an absolute path without whitespaces.)

Python commands

Jupyter for the examples: jupyter lab
Check syntax: flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')

Publish

pandoc README.md --from markdown --to rst -s -o README.rst
python setup.py sdist
twine upload -r pypi dist/*

Clean up

find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .pytest_cache
rm -r .venv

Support

Please open an issue for support.

Contributing

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.

Release files for numpy-linreg 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy-linreg 0.1.2
File	Size	Uploaded
numpy-linreg-0.1.2.tar.gz	8.2 kB	Apr 27, 2021	Details

Release files / numpy-linreg-0.1.2.tar.gz

Download URL	numpy-linreg-0.1.2.tar.gz
Size	8.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`415325b76af20e47baa4383ff666db0be06f0b1ec754261262644091856ba155`
BLAKE2b-256 checksum How to use checksums	`c7b0b1311bd69a5a794e5044feff7a0cb768f29a19dc791e366c15dc3718b918`
Upload date	Apr 27, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.9`