% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/core.R
\name{tidylearn-core}
\alias{tidylearn-core}
\title{tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem}
\description{
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. Access raw model objects via model$fit.
}
