mlsanityData to 14 Oct 2026

Machine Learning using Stata/Python

arXiv 2103.03122 ↗First posted 3 Mar 2021stat.CO cs.LG cs.MScited by 2

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Abstract (arXiv)

We present two related Stata modules, r_ml_stata and c_ml_stata, for fitting popular Machine Learning (ML) methods both in regression and classification settings. Using the recent Stata/Python integration platform (sfi) of Stata 16, these commands provide hyper-parameters' optimal tuning via K-fold cross-validation using greed search. More specifically, they make use of the Python Scikit-learn API to carry out both cross-validation and outcome/label prediction.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 1 of its 36 references that are in the map. First posted on arXiv 3 Mar 2021.

Builds on

1 of 36 references.

References · 1

  1. 2018Continual Lifelong Learning with Neural Networks: A Reviewcited by 1,330

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Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 1.

2 papers.

  1. 2022pystacked: Stacking generalization and machine learning in Statacited by 1
  2. 2024A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learningcited by 0