Versions
Description
SKSurrogate is a suite of tools which implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
Repository
https://github.com/mghasemi/sksurrogate.git
Project Slug
sksurrogate
Last Built
2 years, 8 months ago passed
Maintainers
Home Page
https://github.com/mghasemi/sksurrogate
Badge
Tags
automl, evolutionary-optimization, optimization, surrogate-optimization
Short URLs
sksurrogate.readthedocs.io
sksurrogate.rtfd.io
Default Version
latest
'latest' Version
master
