Bayes-skopt
A fully Bayesian implementation of sequential model-based optimization
Free software: Apache Software License 2.0
Documentation: https://bayes-skopt.readthedocs.io.
Built on top of the excellent Scikit-Optimize (skopt).
Features
A fully Bayesian variant of the GaussianProcessRegressor.
State of the art information-theoretic acquisition functions, such as the Max-value entropy search or Predictive variance reduction search, for even faster convergence in simple regret.
Familiar Optimizer interface known from Scikit-Optimize.
Installation
To install the latest stable release it is best to install the version on PyPI:
pip install bask
The latest development version of Bayes-skopt can be installed from Github as follows:
pip install git+https://github.com/kiudee/bayes-skopt
Another option is to clone the repository and install Bayes-skopt using:
poetry install
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
1 maintainer
Metadata
1 maintainer
Release files for bask 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bask-0.11.0.tar.gz | 28.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bask-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.2 kB
Release files / bask-0.11.0.tar.gz
| Download URL | bask-0.11.0.tar.gz |
|---|---|
| Size | 28.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f552838a9ca53ee9d9d97d364bb9e44415ae097b3fddb0e7f67538c51da86e22
|
|
BLAKE2b-256 checksum How to use checksums |
f84d4f812b2267835dbba823573a85581caf10c6a8c0de32c14893e5022e57af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.13.7 Linux/6.11.0-1018-azure
|
Release files / bask-0.11.0-py3-none-any.whl
| Download URL | bask-0.11.0-py3-none-any.whl |
|---|---|
| Size | 31.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
719995ee2a4726b4203d955815eb110b571913da5e3ad7dedffbe43df7b59dc0
|
|
BLAKE2b-256 checksum How to use checksums |
0d41577c976b15b745b908e4e1e654653a4c78062fbcc2ff7cbed60cbc1ee05c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.13.7 Linux/6.11.0-1018-azure
|
