Estimate hyper-parameter search using evolutionary algorithms
Project description
Estimate hyper-parameter search using evolutionary algorithms
Free software: MIT license
Installation
pip install auto-tune
Documentation
Development
To run the all tests run:
tox
Note, to combine the coverage data from all the tox environments run:
Windows |
set PYTEST_ADDOPTS=--cov-append tox |
|---|---|
Other |
PYTEST_ADDOPTS=--cov-append tox |
Changelog
0.0.1 (2017-09-01)
First release on PyPI.
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
auto-tune-0.0.2.tar.gz
(11.3 kB
view details)
Built Distribution
File details
Details for the file auto-tune-0.0.2.tar.gz.
File metadata
- Download URL: auto-tune-0.0.2.tar.gz
- Upload date:
- Size: 11.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2977074e5f0c0254f05dd955224316f93dc772f54d412a5d74326ae09944635e |
|
| MD5 | 02c4b39bcee31f4c0c4067489a2c7fb9 |
|
| BLAKE2b-256 | 462b28c84270948b32d714983849ee36532b72d7514478ed297d007cbc850102 |
Provenance
File details
Details for the file auto_tune-0.0.2-py2.py3-none-any.whl.
File metadata
- Download URL: auto_tune-0.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2a43d286ab669921cc4840a9a77366f82982728d64a1e9a332832b3457872b2b |
|
| MD5 | bb6f19e94d12063cdff17a55488322d2 |
|
| BLAKE2b-256 | ddd9c63fe94bd97aa468409722f24c3b63ba65c5a2ad0feba7d6bfd3f6f25602 |
