mikropml: mikropml: User-Friendly R Package for Robust Machine Learning...

Description Authors See vignettes


mikropml implements supervised machine learning pipelines using regression, support vector machines, decision trees, random forest, or gradient-boosted trees. The main functions are preprocess_data() to process your data prior to running machine learning, and run_ml() to run machine learning.


See vignettes

SchlossLab/mikropml documentation built on Nov. 25, 2021, 1:13 p.m.