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.
Begüm D. Topçuoğlu (ORCID)
Zena Lapp (ORCID)
Kelly L. Sovacool (ORCID)
Evan Snitkin (ORCID)
Jenna Wiens (ORCID)
Patrick D. Schloss (ORCID)
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