Tidy Tuning Tools

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Documentation for package ‘tune’ version 0.0.1

Help Pages

ames_grid_search Example Analysis of Ames Housing Data
ames_iter_search Example Analysis of Ames Housing Data
ames_wflow Example Analysis of Ames Housing Data
autoplot.tune_results Plot tuning search results
collect_metrics Obtain and format results produced by tuning functions
collect_predictions Obtain and format results produced by tuning functions
conf_bound Acquisition function for scoring parameter combinations
control_bayes Control aspects of the Bayesian search process
control_grid Control aspects of the grid search process
control_resamples Control aspects of the grid search process
example_ames_knn Example Analysis of Ames Housing Data
expo_decay Exponential decay function
exp_improve Acquisition function for scoring parameter combinations
extract_model Convenience functions to extract model or recipe
extract_recipe Convenience functions to extract model or recipe
finalize_model Splice final parameters into objects
finalize_recipe Splice final parameters into objects
finalize_workflow Splice final parameters into objects
fit_resamples Fit multiple models via resampling
fit_resamples.formula Fit multiple models via resampling
fit_resamples.recipe Fit multiple models via resampling
fit_resamples.workflow Fit multiple models via resampling
last_fit Fit the final best model to the training set and evaluate the test set
last_fit.formula Fit the final best model to the training set and evaluate the test set
last_fit.recipe Fit the final best model to the training set and evaluate the test set
last_fit.workflow Fit the final best model to the training set and evaluate the test set
prob_improve Acquisition function for scoring parameter combinations
select_best Investigate best tuning parameters
select_by_one_std_err Investigate best tuning parameters
select_by_pct_loss Investigate best tuning parameters
show_best Investigate best tuning parameters
tune A placeholder function for argument values that are to be tuned.
tune_bayes Bayesian optimization of model parameters.
tune_bayes.default Bayesian optimization of model parameters.
tune_bayes.formula Bayesian optimization of model parameters.
tune_bayes.recipe Bayesian optimization of model parameters.
tune_bayes.workflow Bayesian optimization of model parameters.
tune_grid Model tuning via grid search
tune_grid.default Model tuning via grid search
tune_grid.formula Model tuning via grid search
tune_grid.recipe Model tuning via grid search
tune_grid.workflow Model tuning via grid search