mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines.
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines.
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DOI：
10.21105/joss.03073
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发表时间：
2021-01-01
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通讯作者：
Schloss, Patrick D
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文献类型：
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作者：
Topcuoglu, Begum D;Lapp, Zena;Schloss, Patrick D
机器学习(ML)用于基于一组特征的分类和预测，用于在医疗保健、经济、刑事司法等领域做出决策。然而，实现包括预处理、模型选择和评估在内的ML管道可能是耗时、令人困惑和困难的。在这里，我们介绍mikropml(发音为“meek-ROPE em el”)，这是一个易于使用的R包，它使用回归、支持向量机、决策树、随机森林或梯度增强树来实现ML管道。该程序包可在GitHub、CRAN和Conda上获得。
Machine learning (ML) for classification and prediction based on a set of features is used to make decisions in healthcare, economics, criminal justice and more. However, implementing an ML pipeline including preprocessing, model selection, and evaluation can be time-consuming, confusing, and difficult. Here, we present mikropml (prononced "meek-ROPE em el"), an easy-to-use R package that implements ML pipelines using regression, support vector machines, decision trees, random forest, or gradient-boosted trees. The package is available on GitHub, CRAN, and conda.