Skip to main content

HiLearn: A small library of machine learning methods.

Project description

PyPI Docs Build Status


A small library of machine learning models and utility & plotting functions:

  1. a set of utility functions, e.g., wrap function for cross-validation on regression and classification models
  2. a set of small models, e.g., mixture of linear regression model
  3. a set of plotting functions, e.g., corr_plot, ROC_curve, PR_curve

How to install?

Easy install with pip by pip install hilearn for released version or the latest version on github (less stable though)

pip install -U git+

If you don’t have the root permission, add --user.


See the documentation for how to use, e.g., cross-validation and plotting functions.

Project details

Download files

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

Files for hilearn, version 0.2.2
Filename, size File type Python version Upload date Hashes
Filename, size hilearn-0.2.2.tar.gz (539.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page