Skip to main content

Fast algorithm with dual extrapolation for the Lasso

Project description

# celer

[![](https://travis-ci.org/mathurinm/celer.svg?branch=master)](https://travis-ci.org/mathurinm/celer/) [![](https://codecov.io/gh/mathurinm/celer/branch/master/graphs/badge.svg?branch=master)](https://codecov.io/gh/mathurinm/celer)

Fast algorithm to solve the Lasso with dual extrapolation

# Documentation

Please visit https://mathurinm.github.io/celer/ for the latest version of the documentation.

# Basic instructions Clone the repository:

` $git clone https://github.com/mathurinm/celer.git $cd celer/ $conda env create --file environment.yml $source activate celer-env $pip install --no-deps -e . `

# Demos Lasso path computation on the Leukemia dataset (comparison with scikit-learn): ` $source activate celer-env $ipython %run examples/plot_leukemia_path.py `

Lasso path computation on the Finance/log1p dataset (more significant, but it takes times to download the data, preprocess it, and compute the path): ` $source activate celer-env $ipython %run examples/plot_finance_path.py `

# Dependencies All dependencies are in `./environment.yml`

# Cite If you use this code, please cite [this paper](https://arxiv.org/abs/1802.07481):

Mathurin Massias, Alexandre Gramfort and Joseph Salmon

Dual Extrapolation for Faster Lasso Solvers

Arxiv preprint, 2018

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

celer-0.1.dev0.tar.gz (14.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page