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
Release history Release notifications | RSS feed
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)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
pyLDLE2-0.1.7-py3-none-any.whl
(56.0 kB
view details)
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
998f0646e57185507482961eafe6f91547cbfe04261a34e22e971673123b200c
|
|
| MD5 |
53009e869ff2f6b6eb661a0b91235dff
|
|
| BLAKE2b-256 |
ed7cf99d582196bec9d8549a178c840c206c5ceef65efbfed7d8e1c11dc7b88e
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ec547af93a08d50bba89d63405402297292654420207a87d049823d3e56bef67
|
|
| MD5 |
fa42c4efbfca84ae36df6faf273d69a4
|
|
| BLAKE2b-256 |
86c234d49285caf3ad782dca00031690f9c498c062445fadaf2c05025821ba0a
|