jpfitzinger/tidyfit
An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Tidyfit helps analysts, researchers, and data scientists quickly fit and compare various regression and classification models on their grouped data. You provide your structured datasets (like financial returns across industries or customer segments), and it automatically handles data preparation, cross-validation, and hyperparameter tuning, outputting standardized model coefficients and performance metrics for easy comparison.
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Use this if you need to run many comparative regression or classification models across different groups within your data, and want an automated, standardized approach.
Not ideal if you need highly customized, low-level control over every aspect of your model's implementation or if you are not familiar with the R programming language.
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Apr 29, 2025
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