Model Tuning Patterns
Overview
Comprehensive hyperparameter optimization using the tune package. Covers grid search, iterative search, racing methods, and Bayesian optimization.
Tunable Parameters
Marking Parameters for Tuning
library(tidymodels)
# Use tune() placeholder in model specification
rf_spec <- rand_forest(
mtry = tune(),
trees = 1000,
min_n = tune()
) |>
set_engine("ranger") |>
set_mode("classification")
# Tune recipe steps
rec <- recipe(outcome ~ .,
[Description truncada. Veja o README completo no GitHub.]