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33 changes: 23 additions & 10 deletions NEWS.md
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# 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

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