Man pages for tune
Tidy Tuning Tools
| augment.tune_results | Augment data with holdout predictions |
| autoplot.tune_results | Plot tuning search results |
| choose_metric | Tools for selecting metrics and evaluation times |
| collect_predictions | Obtain and format results produced by tuning functions |
| compute_metrics | Calculate and format metrics from tuning functions |
| 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_last_fit | Control aspects of the last fit process |
| coord_obs_pred | Use same scale for plots of observed vs predicted values |
| dot-stash_last_result | Save most recent results to search path |
| dot-use_case_weights_with_yardstick | Determine if case weights should be passed on to yardstick |
| empty_ellipses | Get colors for tune text. |
| example_ames_knn | Example Analysis of Ames Housing Data |
| expo_decay | Exponential decay function |
| extract_model | Convenience functions to extract model |
| extract-tune | Extract elements of 'tune' objects |
| filter_parameters | Remove some tuning parameter results |
| finalize_model | Splice final parameters into objects |
| fit_best | Fit a model to the numerically optimal configuration |
| fit_resamples | Fit multiple models via resampling |
| get_metric_time | Get time for analysis of dynamic survival metrics |
| int_pctl.tune_results | Bootstrap confidence intervals for performance metrics |
| last_fit | Fit the final best model to the training set and evaluate the... |
| load_pkgs | Quietly load package namespace |
| merge.recipe | Merge parameter grid values into objects |
| message_wrap | Write a message that respects the line width |
| min_grid | Determine the minimum set of model fits |
| outcome_names | Determine names of the outcome data in a workflow |
| parameters.workflow | Determination of parameter sets for other objects |
| prob_improve | Acquisition function for scoring parameter combinations |
| reexports | Objects exported from other packages |
| show_best | Investigate best tuning parameters |
| show_notes | Display distinct errors from tune objects |
| tune_accessor | Various accessor functions |
| tune_bayes | Bayesian optimization of model parameters. |
| tune_grid | Model tuning via grid search |
| tune-internal-functions | Internal functions used by other tidymodels packages |
