rgmantovani/HpTuning: An implementation of several hyperparameter tuning techniques for ML classification algorithms in R.
'HPTuning' is a program that performs hyper-parameter tuning of different Machine Learning (ML) classification algorithms using: random search (RS), meta-heuristics (GA, PSO and EDA), sequential model-based optimization (SMBO) and an Iterated F-Racing technique (irace).
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | LGPL-3 |
| Version | 0.0.1 |
| URL | https://github.com/rgmantovani/HpTuning |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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