A fully Bayesian implementation of sequential model-based optimization
Project description
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:
python setup.py install
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bask-0.8.0b1.tar.gz.
File metadata
- Download URL: bask-0.8.0b1.tar.gz
- Upload date:
- Size: 26.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.10 CPython/3.8.0 Linux/4.15.0-1077-gcp
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
153fbb60494e827c1feb4b97298f45eeaf930b1336cb3f7857b7ce18d23cac9b
|
|
| MD5 |
b5c0c728e92bd75f43ad8f82100382b7
|
|
| BLAKE2b-256 |
afe489eb41dbcdb33830ca362f76f74de613bccf2b35262672fb4e2eb2118925
|
File details
Details for the file bask-0.8.0b1-py3-none-any.whl.
File metadata
- Download URL: bask-0.8.0b1-py3-none-any.whl
- Upload date:
- Size: 29.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.10 CPython/3.8.0 Linux/4.15.0-1077-gcp
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5f62bc13299d56797797787f2cdc0513e1f94cc3c6bfef1e019c4fbb021dfb8
|
|
| MD5 |
e2acbf39e7f4ec6c53eae9a92324800d
|
|
| BLAKE2b-256 |
32b45b69eff2a18e5e5849a66ac9e41edaa10fd12513fe158e20590964b80909
|
