BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tuning
Project description
UNKNOWN
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
bayesopt-0.3-cp27-cp27m-win32.whl
(421.3 kB
view details)
File details
Details for the file bayesopt-0.3-cp27-cp27m-win32.whl.
File metadata
- Download URL: bayesopt-0.3-cp27-cp27m-win32.whl
- Upload date:
- Size: 421.3 kB
- Tags: CPython 2.7m, Windows x86
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9d35e341d7145a29590a51c895ee889399fd8c9d62b39acebdf73b8df6caea9f
|
|
| MD5 |
01cf4e67c4eef8390beff309360c935c
|
|
| BLAKE2b-256 |
bda3ea10c30e4b8276a0c0e11e6ef6fb9f42b72d974f2938ddd91e2dd40ea0a4
|
