ja-thomas/hyperbandr:
Version 0.1

Generic and extendable implementation of the hyperband optimization algorithm in 'R6'. Can be easily used to tune hyperparameters of deep neural networks and other machine learning algorithms. Builds upon the 'ParamHelpers' for definition of optimization ranges and dependencies.

Getting started

Package details

Maintainer
LicenseBSD_2_clause + file LICENSE
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ja-thomas/hyperbandr")
ja-thomas/hyperbandr documentation built on June 8, 2018, 10:12 a.m.