ja-thomas/hyperbandr:
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
Browse package contents
Package details |
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| Maintainer | |
| License | BSD_2_clause + file LICENSE |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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