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https://github.com/kirillseva/tune

efficient hyperparameter tuning in R
https://github.com/kirillseva/tune

Last synced: 8 days ago
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efficient hyperparameter tuning in R

Host: GitHub
URL: https://github.com/kirillseva/tune
Owner: kirillseva
Created: 2016-04-02T16:12:36.000Z (over 8 years ago)
Default Branch: master
Last Pushed: 2016-04-02T18:35:26.000Z (over 8 years ago)
Last Synced: 2024-08-13T07:13:26.781Z (4 months ago)
Language: R
Homepage:
Size: 1.95 KB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

jimsghstars - kirillseva/tune - efficient hyperparameter tuning in R (R)

README

        # tune: efficient hyperparameter tuning in R [![Build Status](https://travis-ci.org/kirillseva/tune.svg?branch=master)](https://travis-ci.org/kirillseva/tune)

An R alternative to python's [hyperopt](https://github.com/hyperopt/hyperopt) and [spearmint](https://github.com/JasperSnoek/spearmint)

This implementation does not focus on the multi-core optimizations like hyperopt. Instead, it is assumed that your machine learning classifier is already using all available resources, hence linear approach will be just as fast on a single machine.