Skip to main content

HiLearn: A small library of machine learning methods.

Project description

A small library of machine learning methods. As most of them are often used (by myself), they are standardized and collected here.

What’s inside?

  • a wrap of cross-validation for regression and classification models.

  • a mixture of linear regression model

  • a plot function to show correlation between a pair of data (for regression)

  • a plot function to show ROC curve with AUC score (for classification)

  • a few plot functions, e.g., set colors, group boxplots, venn3 plots.

How to install?

Download the codes from this github repository and then run the following command line:

python setup.py install

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

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

hilearn-0.1.0.tar.gz (11.3 kB view details)

Uploaded Source

File details

Details for the file hilearn-0.1.0.tar.gz.

File metadata

  • Download URL: hilearn-0.1.0.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.3

File hashes

Hashes for hilearn-0.1.0.tar.gz
Algorithm Hash digest
SHA256 4dd11d22c49b4614020b069ed8d58e1970424b2f325f5549516a13be7ef6bff0
MD5 7f17053322d679f0a9b574d53f63103d
BLAKE2b-256 dfe55f9bc4d97b80561648f6fbe7e34c901185e5759cdd43edd35221ea28b9cb

See more details on using hashes here.

Provenance

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