workshop NEWS (#946)

Author: simonpcouch

NEWS.md

@@ -1,35 +1,48 @@
 # parsnip (development version)
 
-* glmnet models fitted with base-R family objects are now supported for `linear_reg()`, `logistic_reg()`, and `multinomial_reg()` (#890).
+This release of parsnip contains a number of new features and bug fixes, accompanied by several optimizations that substantially decrease the time to `fit()` and `predict()` with the package.
 
-* Moved forward with the deprecation of `req_pkgs()` in favor of `required_pkgs()`. The function will now error (#871).
+## Improvements to `"glmnet"` engine interfaces
 
-* Made `fit()` behave consistently with respect to missingness in the classification setting. Previously, `fit()` erroneously raised an error about the class of the outcome when there were no complete cases, and now always passes along complete cases to be handled by the modeling function (#888).
+* glmnet models fitted with base-R family objects are now supported for `linear_reg()`, `logistic_reg()`, and `multinomial_reg()` (#890).
 
-* Fixed bug where model fits with factor predictors and `engine = "kknn"` would fail when the package's namespace hadn't been attached (#264).
+* `multi_predict()` methods for `linear_reg()`, `logistic_reg()`, and `multinom_reg()` models fitted with the `"glmnet"` engine now check the `type` better and error accordingly (#900).
 
 * `.organize_glmnet_pred()` now expects predictions for a single penalty value (#876).
 
+## Survival analysis
+
+* The `time` argument to `predict_survival()` and `predict_hazard()` is deprecated in favor of the new `eval_time` argument (#936).
+
+* Added several internal functions (to help work with `Surv` objects) as a standalone file that can be used in other packages via `usethis::use_standalone("tidymodels/parsnip")`. These changes provide tooling for downstream packages to handle inverse probability censoring weights (#893, #897, #937).
+
+## Bug fixes
+
+* Made `fit()` behave consistently with respect to missingness in the classification setting. Previously, `fit()` erroneously raised an error about the class of the outcome when there were no complete cases, and now always passes along complete cases to be handled by the modeling function (#888).
+
 * Fixed bug where model fits with `engine = "earth"` would fail when the package's namespace hadn't been attached (#251).
 
-* Fixed bug with prediction from a boosted tree model fitted with `"xgboost"` using a custom objective function (#875).
+* Fixed bug where model fits with factor predictors and `engine = "kknn"` would fail when the package's namespace hadn't been attached (#264).
 
-* Several internal functions (to help work with `Surv` objects) were added as a standalone file that can be used in other packages via `usethis::use_standalone("tidymodels/parsnip")`. 
+* Fixed bug with prediction from a boosted tree model fitted with `"xgboost"` using a custom objective function (#875).
 
-* `multi_predict()` methods for `linear_reg()`, `logistic_reg()`, and `multinomial_reg()` models fitted with the `"glmnet"` engine now check the `type` better and error accordingly (#900).
+## Other changes
 
-* Rather than being implemented in each method, the check for the `new_data` argument being mistakenly passed as `newdata` to `multi_predict()` now happens in the generic. Packages re-exporting the `multi_predict()` generic and implementing now-duplicate checks may see new failures and can remove their own analogous checks. This check already existed in all `predict()` methods (via `predict.model_fit()`) and all parsnip `multi_predict()` methods (#525).
+* Implemented a number of optimizations in parsnip's backend that [substantially decrease evaluation time](https://www.simonpcouch.com/blog/speedups-2023/#parsnip) to `fit()` and `predict()` (#901, #902, #910, #921, #929, #923, #931, #932, #933).
 
 * `logistic_reg()` will now warn at `fit()` when the outcome has more than two levels (#545).
 
+* Rather than being implemented in each method, the check for the `new_data` argument being mistakenly passed as `newdata` to `multi_predict()` now happens in the generic. Packages re-exporting the `multi_predict()` generic and implementing now-duplicate checks may see new failures and can remove their own analogous checks. This check already existed in all `predict()` methods (via `predict.model_fit()`) and all parsnip `multi_predict()` methods (#525).
+
 * Functions now indicate what class the outcome was if the outcome is the wrong class (#887).
 
 * The minimum version for R is now 3.5 (#926).
 
-* Transitioned all soft-deprecations that were at least a year old to warn-deprecations. These changes apply to `fit_control()`, `surv_reg()`, `varying()`, `varying_args()`, and the `"liquidSVM"` engine.
+* Moved forward with the deprecation of `req_pkgs()` in favor of `required_pkgs()`. The function will now error (#871).
 
-* The `time` argument to `predict_survival()` and `predict_hazard()` is deprecated in favor of the new `eval_time` argument (#936).
+* Transitioned all soft-deprecations that were at least a year old to warn-deprecations. These changes apply to `fit_control()`, `surv_reg()`, `varying()`, `varying_args()`, and the `"liquidSVM"` engine.
 
+* Various bug fixes and improvements to documentation.
 
 # parsnip 1.0.4