Skip to main content

Low Distortion Local Eigenmaps and its variations.

Project description

pyLDLE2

pyLDLE2 provides an implementation of our manifold learning algorithm LDLE and several variations of it.

Installation

Install pyLDLE2 by running:

python3 -m pip install pyLDLE2

Contribute

  • Issue Tracker: github.com/chiggum/pyLDLE2/issues
  • Source Code: github.com/chiggum/pyLDLE2

Documentation

https://pyldle2.readthedocs.io/en/latest/

Citation

@article{JMLR:v22:21-0131,
  author  = {Dhruv Kohli and Alexander Cloninger and Gal Mishne},
  title   = {LDLE: Low Distortion Local Eigenmaps},
  journal = {Journal of Machine Learning Research},
  year    = {2021},
  volume  = {22},
  number  = {282},
  pages   = {1-64},
  url     = {http://jmlr.org/papers/v22/21-0131.html}
}

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

pyLDLE2-0.1.17.tar.gz (57.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyLDLE2-0.1.17-py3-none-any.whl (68.6 kB view details)

Uploaded Python 3

File details

Details for the file pyLDLE2-0.1.17.tar.gz.

File metadata

  • Download URL: pyLDLE2-0.1.17.tar.gz
  • Upload date:
  • Size: 57.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for pyLDLE2-0.1.17.tar.gz
Algorithm Hash digest
SHA256 4e393f60e6f672ab2cb044acc0f95df155896cce06396697dc818d80a673c811
MD5 073505dd5d168307b9f45453aa780846
BLAKE2b-256 5fed44be3fc916b516a2d47a65a23b5ee500bf1091328780618b33795c7fc800

See more details on using hashes here.

File details

Details for the file pyLDLE2-0.1.17-py3-none-any.whl.

File metadata

  • Download URL: pyLDLE2-0.1.17-py3-none-any.whl
  • Upload date:
  • Size: 68.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for pyLDLE2-0.1.17-py3-none-any.whl
Algorithm Hash digest
SHA256 5d3c292961aae7d0a52ff5e12bb0acdaf53cf1fb5ab6b55259377507494ffb7a
MD5 d2ce0af2b495932839c59b3e2ad96ac0
BLAKE2b-256 303102e10748e5db8e85c65a182ece6f0be1452928320f8ff665b7d1f0efccbd

See more details on using hashes here.

Supported by

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