An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 1.6.1.9000 |
URL | https://www.schlosslab.org/mikropml/ https://github.com/SchlossLab/mikropml |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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