Metadata-Version: 2.1
Name: pyLDLE2
Version: 0.1.4
Summary: Low Distortion Local Eigenmaps and its variations.
Author: Dhruv Kohli, Alex Cloninger, Gal Mishne
License: MIT License
        
        Copyright (c) 2022, Dhruv Kohli
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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        SOFTWARE.
Project-URL: Homepage, https://github.com/chiggum/pyLDLE2
Project-URL: Bug Tracker, https://github.com/chiggum/pyLDLE2/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

pyLDLE2
========

pyLDLE2 provides an implementation of our manifold learning algorithm [LDLE](http://jmlr.org/papers/v22/21-0131.html) 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}
}
```
