Skip to main content

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Project description

https://badge.fury.io/py/elm.png https://travis-ci.org/acba/elm.png?branch=master https://pypip.in/d/elm/badge.png

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Features

  • ELM Kernel

  • ELM Random Neurons

  • MLTools

https://img.shields.io/badge/Donate-PayPal-green.svg

History

0.1.0 (2015-02-03)

  • First release on PyPI.

0.1.1 (2015-02-10)

  • Fixed some package issues.

  • Added Python 2.7 support

  • Added extra parameter to search_param method.

0.1.2 (2017-09-19)

  • Fixed a bug when using search_param.

  • Optunity solver is available when using search_param.

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

elm-0.1.3.tar.gz (74.2 kB view details)

Uploaded Source

Built Distribution

elm-0.1.3-py2.py3-none-any.whl (19.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file elm-0.1.3.tar.gz.

File metadata

  • Download URL: elm-0.1.3.tar.gz
  • Upload date:
  • Size: 74.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for elm-0.1.3.tar.gz
Algorithm Hash digest
SHA256 e2849e515c14e73d762ae3a10cee77c80b2cd027e4e7970cb7d73c1aeaa00fff
MD5 044ab7b61d5399bfcec67f3e6a9b8efb
BLAKE2b-256 a3f91a572b5c8926f32dab5697243eb0f8caeddb5f32cbd54a8bcdc81ab2787c

See more details on using hashes here.

File details

Details for the file elm-0.1.3-py2.py3-none-any.whl.

File metadata

  • Download URL: elm-0.1.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 19.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for elm-0.1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f147654ae1f9dc746582a207f7198edaf0a754bcaf6e694750d3973f6dba7e8e
MD5 6c4854c159a8ccfa71c00d9668562e27
BLAKE2b-256 5966fed578fe5ddb9104bda12e3d7e720e714852492302be8d319a7c9ab56f42

See more details on using hashes here.

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