tune
Hyperparameter tuning and model optimization for the tidymodels framework
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
◆Recent moves
- 3mo ago
Quantile regression tuning; Bayesian search moves to GauPro
Model tuning reaches quantile regression, and resampling estimates can be weighted by assessment set size. The breaking part is a forced dependency swap: the Gaussian process engine moves from GPfit to GauPro because the former is unmaintained, which changes how qualitative predictors are handled and how poor fits are recovered from.
View source ↗ - 9mo ago
Fixes int_pctl() with future parallelism on last_fit()
A single bug fix for percentile intervals failing on last_fit() results when future parallelism was enabled. Cleanup after the 2.0.0 parallelism rework.
View source ↗ - 11mo ago
Postprocessors become tunable; mirai joins future as a backend
⚡ SPARKThe release the rest of this timeline orbits: tune_grid() was rewritten so that postprocessing is a tunable stage, which is why the .config scheme had to change to name three stages instead of two. Adding mirai continues the parallel-backend migration that 1.2.0 started and 1.3.0 warned about.
View source ↗ - 11mo ago
Development snapshot re-enabling skipped tests
A pre-release development tag whose notes are the squashed commit log - test re-enabling and code review fixups. It appears here because the repository tags development versions, not because anything shipped.
View source ↗ - 1y ago
Warns on foreach parallelism; space-filling grids by default
Signals the next step in the parallel migration by warning when foreach is enabled without future, and states plainly that the following version will be pure future. Automatic grids switch to grid_space_filling(), which produces optimized designs rather than depending on random draws.
View source ↗ - 2y ago
Fixes parallel tuning errors under multisession plans
Two parallelism bug fixes, one for bootstrap intervals under PSOCK clusters and one for an object-not-found error when tuning across everything. The release notes also correct a mismatched GitHub tag.
View source ↗