smoot
Installation
pip install smoot
Required packages : pymoo,smt
Description
This surrogate based multi-objective Bayesian optimizer has been created to see the performance of the WB2S criterion adapted to multi-objective problems.
Given a black box function f : x -> y with bolds characters as vectors, smoot will give an accurate approximation of the optima with few calls of f.
Usage
Look at the Jupyter notebook in the tutorial folder.
You will learn how to use implemented the functionnalities and options such as :
- The choice of the infill criterion
- The method to manage the constraints
For additional questions, contact: robingrapin@orange.fr
Metadata
Release files for smoot 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| smoot-0.1.0.tar.gz | 14.2 kB | Without provenance | Details for smoot-0.1.0.tar.gz |
Release files / smoot-0.1.0.tar.gz
| Download URL | smoot-0.1.0.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d4aeebac17280475a485497662a169d4ff5ae63f92c7f6418c819778daa58c72
|
|
BLAKE2b-256 checksum How to use checksums |
62749bdbe8ff63aa3cffaa4dbb109cc0ff06b706285c7a26bd8d3090c176f249
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.5
|
Security for smoot 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
