Sequential model-based optimization toolbox.
Project description
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization.
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
scikit-optimize-0.3.tar.gz
(33.1 kB
view details)
Built Distribution
File details
Details for the file scikit-optimize-0.3.tar.gz
.
File metadata
- Download URL: scikit-optimize-0.3.tar.gz
- Upload date:
- Size: 33.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8934c33e5958227d2ff97a4fae2134d2a00432b99e7f9d90b17e45cb1da9bb5 |
|
MD5 | c7d3cfa4f66764f37a4fef231187243a |
|
BLAKE2b-256 | 71050a0906ddcd03ea0ac662ce748c96342a0d6e3084945855087671eb115252 |
File details
Details for the file scikit_optimize-0.3-py2.py3-none-any.whl
.
File metadata
- Download URL: scikit_optimize-0.3-py2.py3-none-any.whl
- Upload date:
- Size: 48.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 58c5d8768c9c3156ee131a60e66bbb075ad02679db43af4691e7b7e7565485ad |
|
MD5 | 837ee7420325ebb385647022b2adecf2 |
|
BLAKE2b-256 | a2980b8dd7ab8e19085e0b7f67c27811b7e64aea5d4a4be3601851c54003f34a |