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Machine learning using Stata/Python
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DOI：10.1177/1536867X221140944.png)
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Abstract
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I present two related commands, r_ml_stata_cv and c_ml_stata_cv, for fitting popular machine learning methods in both a regression and a classification setting. Using the recent Stata/Python integration platform introduced in Stata 16, these commands provide hyperparameters' optimal tuning via K-fold cross-validation using grid search. More specifically, they use the Python Scikitlearn application programming interface to carry out both cross-validation and outcome/label prediction.
Keywords:
pr0076
r_ml_stata_cv
c_ml_stata_cv
get_test_train
machine learning
Python
optimal tuning
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2.4
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