A simulation framework for supervised learning data. The functionalities are specifically designed to let the user a maximum degrees of freedom, to ultimately fulfill the research purpose. Furthermore, feature importances of the simulation can be created on a local and a global level. This is particular interesting, for instance, to benchmark feature selection algorithms.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.2 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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