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

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.

Authors

• Begüm D. Topçuoğlu (ORCID)

• Zena Lapp (ORCID)

• Kelly L. Sovacool (ORCID)

• Evan Snitkin (ORCID)

• Jenna Wiens (ORCID)

• Patrick D. Schloss (ORCID)

See vignettes

• Introduction

• Preprocessing data

• Hyperparameter tuning

• Parallel processing

• The mikropml paper