LBFGS and OWL-QN optimization algorithms
Project description
PyLBFGS
This is a Python wrapper around Naoaki Okazaki (chokkan)’s liblbfgs library of quasi-Newton optimization routines (limited memory BFGS and OWL-QN).
This package aims to provide a cleaner interface to the LBFGS algorithm than is currently available in SciPy, and to provide the OWL-QN algorithm to Python users.
Installing
Type:
pip install pylbfgs
Hacking
Type:
python setup.py build_ext -i
to build PyLBFGS in-place, i.e. without installing it.
To run the test suite, make sure you have Nose installed, and type:
nosetests tests/
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
PyLBFGS-0.1.13.tar.gz
(79.4 kB
view details)
Built Distribution
File details
Details for the file PyLBFGS-0.1.13.tar.gz.
File metadata
- Download URL: PyLBFGS-0.1.13.tar.gz
- Upload date:
- Size: 79.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 172403d47eeca83470490fb27c1248fba08ec0ccc22bd8bafd43a3081c9b01a6 |
|
| MD5 | 925957a2e0c237c22feba84ecc8ef5d2 |
|
| BLAKE2b-256 | f26802b345e5dc63b260752114f5e8c0853dd692fe55f5fca633b63831c97deb |
File details
Details for the file PyLBFGS-0.1.13-py2.7-linux-x86_64.egg.
File metadata
- Download URL: PyLBFGS-0.1.13-py2.7-linux-x86_64.egg
- Upload date:
- Size: 133.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f475b1dc20b8d66e077b43de689241a3729a9940c40c02dd530c8de9452756a6 |
|
| MD5 | 9db5d62d82b61d11c5c98ede8720d1c2 |
|
| BLAKE2b-256 | ef9043c93014c42e6e422d00a589deefd0a5c14ba2b173cdd994cf5b8e098616 |
