spsanderson/tidyAML
Auto ML for the tidyverse
This tool helps data analysts and scientists quickly build and compare many machine learning models for predictions. You provide your cleaned dataset and define your prediction goal, and it automatically trains various regression or classification models. It's designed for R users who work with the `tidymodels` framework and want to accelerate their model development and evaluation.
Use this if you need to rapidly prototype or deploy multiple machine learning models in R for either regression or classification tasks and want a streamlined workflow.
Not ideal if you prefer to build and fine-tune each model manually, or if you are not familiar with the R programming language or the `tidymodels` ecosystem.
Stars
70
Forks
7
Language
R
License
—
Category
Last pushed
Dec 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/spsanderson/tidyAML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lucasmaystre/choix
Inference algorithms for models based on Luce's choice axiom
laresbernardo/lares
Analytics & Machine Learning R Sidekick
TheAlgorithms/R
Collection of various algorithms implemented in R.
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
mlr-org/mlr
Machine Learning in R