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| 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 |
| augment.last_fit | Augment data with holdout predictions |
| augment.resample_results | Augment data with holdout predictions |
| augment.tune_results | Augment data with holdout predictions |
| autoplot.tune_results | Plot tuning search results |
| collect_metrics | Obtain and format results produced by tuning functions |
| collect_metrics.tune_race | Obtain and format results produced by tuning functions |
| collect_metrics.tune_results | Obtain and format results produced by tuning functions |
| collect_predictions | Obtain and format results produced by tuning functions |
| collect_predictions.default | Obtain and format results produced by tuning functions |
| collect_predictions.tune_results | Obtain and format results produced by tuning functions |
| conf_bound | Acquisition function for scoring parameter combinations |
| conf_mat_resampled | Compute average confusion matrix across resamples |
| 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 |
| coord_obs_pred | Use same scale for plots of observed vs predicted values |
| example_ames_knn | Example Analysis of Ames Housing Data |
| expo_decay | Exponential decay function |
| exp_improve | Acquisition function for scoring parameter combinations |
| extract-tune | Extract elements of 'tune' objects |
| extract_fit_engine.tune_results | Extract elements of 'tune' objects |
| extract_fit_parsnip.tune_results | Extract elements of 'tune' objects |
| extract_model | Convenience functions to extract model |
| extract_mold.tune_results | Extract elements of 'tune' objects |
| extract_preprocessor.tune_results | Extract elements of 'tune' objects |
| extract_recipe.tune_results | Extract elements of 'tune' objects |
| extract_spec_parsnip.tune_results | Extract elements of 'tune' objects |
| extract_workflow.last_fit | Extract elements of 'tune' objects |
| extract_workflow.tune_results | Extract elements of 'tune' objects |
| filter_parameters | Remove some tuning parameter results |
| 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.model_spec | 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.model_spec | 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 |
| message_wrap | Write a message that respects the line width |
| 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.model_spec | Bayesian optimization of model parameters. |
| tune_bayes.workflow | Bayesian optimization of model parameters. |
| tune_grid | Model tuning via grid search |
| tune_grid.model_spec | Model tuning via grid search |
| tune_grid.workflow | Model tuning via grid search |