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
1 year, 6 months ago passed
Maintainers
Home Page
https://github.com/mghasemi/sksurrogate
Badge
Tags
optimization, automl, surrogate-optimization, evolutionary-optimization
Short URLs
sksurrogate.readthedocs.io
sksurrogate.rtfd.io
Default Version
latest
'latest' Version
master
