NEWS.md

In finetune: Additional Functions for Model Tuning

finetune 1.2.0

New Features

• finetune now fully supports models in the "censored regression" mode. These models can be fit, tuned, and evaluated like the regression and classification modes. tidymodels.org has more information and tutorials on how to work with survival analysis models.

• Improved error message from tune_sim_anneal() when values in the supplied param_info do not encompass all values evaluated in the initial grid. This most often happens when a user mistakenly supplies different parameter sets to the function that generated the initial results and tune_sim_anneal().

• autoplot() methods for racing objects will now use integers in x-axis breaks (#75).

• Enabling the verbose_elim control option for tune_race_anova() will now additionally introduce a message confirming that the function is evaluating against the burn-in resamples.

• Updates based on the new version of tune, primarily for survival analysis models (#104).

Bug Fixes

• Fixed bug where tune_sim_anneal() would fail when supplied parameters needing finalization. The function will now finalize needed parameter ranges internally (#39).

• Fixed bug where packages specified in control_race(pkgs) were not actually loaded in tune_race_anova() (#74).

Breaking Change

• Ellipses (...) are now used consistently in the package to require optional arguments to be named. collect_predictions(), collect_metrics() and show_best() methods previously had ellipses at the end of the function signature that have been moved to follow the last argument without a default value. Optional arguments previously passed by position will now error informatively prompting them to be named (#105).

finetune 1.1.0

• Various minor changes to keep up with developments in the tune and dplyr packages (#60) (#62) (#67) (#68).

• Corrects .config output with save_pred = TRUE in tune_sim_anneal(). The function previously outputted a constant Model1_Preprocessor1 in the .predictions slot, and now provides .config values that align with those in .metrics (#57).

• An eval_time attribute was added to tune objects produced by finetune.

finetune 1.0.1

• For racing:
• collect_metrics() and collect_predictions() have a 'complete' argument that only returns results for model configurations that were fully resampled.

• select_best() and show_best() now only show results for model configurations that were fully resampled.

• tune_race_anova(), tune_race_win_loss(), and tune_sim_anneal() no longer error if control argument isn't a the corresponding control_*() object. Will work as long as the object passed to control includes the same elements as the required control_*() object.

• The control_sim_anneal() got a new argument verbose_iter that is used to control the verbosity of the iterative calculations. This change means that the verbose argument is being passed to tune_grid() to control its verbosity.

finetune 1.0.0

• An informative error is given when there are not enough resamples for racing (#33).

• tune_sim_anneal() was not passing all arguments to tune_grid() (#40).

finetune 0.2.0

• Maintenance release for CRAN requirements.

• Use extract_parameter_set_dials() instead of parameters() to get parameter sets.

• Removed some pillar-related S3 methods that currently live in tune.

finetune 0.1.1

• tune_sim_anneal() only overwrites tuning parameter information when they originally contain unknowns.

finetune 0.1.0

• A check was added to make sure that lme4 or BradleyTerry2 are installed (#8)

• Added pillar methods for formatting tune objects in list columns.

• Fixed bug in random_integer_neighbor_calc() to keep values inside range (#10)

• tune_sim_anneal() now retains a finalized parameter set and replaces any existing parameter set that was not finalized (#14)

• A bug in win/loss racing was fixed for cases when one tuning parameter had results that were so bad that it broke the Bradley-Terry model (#7)

finetune 0.0.1

• First CRAN release

finetune documentation built on May 29, 2024, 5:35 a.m.