GenAlgo
Classes and Methods to Use Genetic Algorithms for Feature Selection
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
- Version2.2.0
- R version≥ 3.0
- LicenseApache License (== 2.0)
- Needs compilation?No
- Reference manual
- Last release10/15/2020
Documentation
Team
Kevin R. Coombes
MaintainerShow author details
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Last 30 days
This package has been downloaded 232 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 2,660 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jun 18, 2024 with 42 downloads.
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Dependencies
- Imports3 packages
- Suggests1 package