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