tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Core functionality for tidylearn. This package provides a unified tidyverse-compatible interface to established R machine learning packages including glmnet, randomForest, xgboost, e1071, rpart, gbm, nnet, cluster, and dbscan. The underlying algorithms are unchanged - tidylearn wraps them with consistent function signatures, tidy tibble output, and unified ggplot2-based visualization. Supervised models keep the wrapped object at model$fit; unsupervised ones put it at model$fit$model, alongside the tidied components.