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
pyLDLE2-0.1.4.tar.gz
(48.1 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
pyLDLE2-0.1.4-py3-none-any.whl
(57.5 kB
view details)
File details
Details for the file pyLDLE2-0.1.4.tar.gz.
File metadata
- Download URL: pyLDLE2-0.1.4.tar.gz
- Upload date:
- Size: 48.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7db9865d7ffc76a14a33b3e93569bb3e029d4a886c9965c772049c81a6c9b352
|
|
| MD5 |
40fd44c89f15572fdb14d6dca0adca1f
|
|
| BLAKE2b-256 |
fd9e347b99059bbe54cffe399e5d1ba35490e5052b950dd9329a0691f6705b92
|
File details
Details for the file pyLDLE2-0.1.4-py3-none-any.whl.
File metadata
- Download URL: pyLDLE2-0.1.4-py3-none-any.whl
- Upload date:
- Size: 57.5 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 |
fb0dff54cb26f17c84fb33edee84266f055f3dd595fe5160af9dc3458f9fc53c
|
|
| MD5 |
9c866da9e83141505db5407a2f629d84
|
|
| BLAKE2b-256 |
0a357ae717b19c16b1ca7e4f1f0e4b5c685f989e4eae78fc3410b41426509bec
|