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

pyLDLE2-0.0.3.tar.gz (46.0 kB view details)

Uploaded Source

Built Distribution

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

pyLDLE2-0.0.3-py3-none-any.whl (50.9 kB view details)

Uploaded Python 3

File details

Details for the file pyLDLE2-0.0.3.tar.gz.

File metadata

  • Download URL: pyLDLE2-0.0.3.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for pyLDLE2-0.0.3.tar.gz
Algorithm Hash digest
SHA256 0c796edb25fed8b369aac4cee1095978cf79ef8b6db58d16e5d5fc3c287659dc
MD5 246daadb8020227e899c084e36dc7be8
BLAKE2b-256 1f4c4f2616dc5802cb05e8a7e5a358f66b99527cc87671dbee69d7d7e8d65c5a

See more details on using hashes here.

File details

Details for the file pyLDLE2-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: pyLDLE2-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 50.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for pyLDLE2-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e81b6bca7c55e7e85bc71971b46797be6690469077f1b02286e5856e80486346
MD5 b9e8e2d3fca8f907d2d83f7134c24d19
BLAKE2b-256 561ae8c86602ca6f7088e46bc8a598be5078a3c7ffc6783d2f141cb43743affa

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