Sequential model-based optimization toolbox.
Project description
Scikit-Optimize, or skopt, is a simple and efficient library for sequential model-based optimization, accessible to everybody and reusable in various contexts.
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-0.2.tar.gz
(27.9 kB
view details)
Built Distribution
File details
Details for the file scikit-optimize-0.2.tar.gz.
File metadata
- Download URL: scikit-optimize-0.2.tar.gz
- Upload date:
- Size: 27.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 459016a8af2a3b8b83ca31214da39268002beb4b1beb3050edaaf388eb50e4a0 |
|
| MD5 | e674b7142d5b95714f22936688261265 |
|
| BLAKE2b-256 | 908bb3f66cbc4026b7fc73fba2d896b44b570ac38fc41d64ba33a02a03c4a9e8 |
File details
Details for the file scikit_optimize-0.2-py2.py3-none-any.whl.
File metadata
- Download URL: scikit_optimize-0.2-py2.py3-none-any.whl
- Upload date:
- Size: 42.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4610f043d7c8b9b5da02761cd1fb55cfacd760711f805d64bef91cb9a07849cd |
|
| MD5 | 0e2e4f79f3c9170249db04ed1db32f61 |
|
| BLAKE2b-256 | cd1844464e2bc7e443d07106ca76fcaabb12b42675df975a7707bc51c65fac8f |
