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

pyLDLE2-0.1.7.tar.gz (51.1 kB view details)

Uploaded Source

Built Distribution

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

pyLDLE2-0.1.7-py3-none-any.whl (56.0 kB view details)

Uploaded Python 3

File details

Details for the file pyLDLE2-0.1.7.tar.gz.

File metadata

  • Download URL: pyLDLE2-0.1.7.tar.gz
  • Upload date:
  • Size: 51.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for pyLDLE2-0.1.7.tar.gz
Algorithm Hash digest
SHA256 998f0646e57185507482961eafe6f91547cbfe04261a34e22e971673123b200c
MD5 53009e869ff2f6b6eb661a0b91235dff
BLAKE2b-256 ed7cf99d582196bec9d8549a178c840c206c5ceef65efbfed7d8e1c11dc7b88e

See more details on using hashes here.

File details

Details for the file pyLDLE2-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: pyLDLE2-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 56.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for pyLDLE2-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 ec547af93a08d50bba89d63405402297292654420207a87d049823d3e56bef67
MD5 fa42c4efbfca84ae36df6faf273d69a4
BLAKE2b-256 86c234d49285caf3ad782dca00031690f9c498c062445fadaf2c05025821ba0a

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