RC 1.2.0

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: parsnip
 Title: A Common API to Modeling and Analysis Functions
-Version: 1.1.1.9008
+Version: 1.2.0
 Authors@R: c(
     person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre")),
     person("Davis", "Vaughan", , "davis@posit.co", role = "aut"),
@@ -17,7 +17,7 @@ URL: https://github.com/tidymodels/parsnip,
     https://parsnip.tidymodels.org/
 BugReports: https://github.com/tidymodels/parsnip/issues
 Depends:
-    R (>= 3.5)
+    R (>= 3.6)
 Imports: 
     cli,
     dplyr (>= 1.1.0),
@@ -76,4 +76,4 @@ Config/testthat/edition: 3
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.0
+RoxygenNote: 7.3.1

NAMESPACE

@@ -76,6 +76,7 @@ S3method(predict_linear_pred,model_fit)
 S3method(predict_numeric,"_elnet")
 S3method(predict_numeric,"_glmnetfit")
 S3method(predict_numeric,model_fit)
+S3method(predict_predint,model_fit)
 S3method(predict_quantile,model_fit)
 S3method(predict_raw,"_elnet")
 S3method(predict_raw,"_glmnetfit")
@@ -283,12 +284,15 @@ export(pred_value_template)
 export(predict.model_fit)
 export(predict_class.model_fit)
 export(predict_classprob.model_fit)
+export(predict_confint)
 export(predict_confint.model_fit)
 export(predict_hazard.model_fit)
 export(predict_linear_pred)
 export(predict_linear_pred.model_fit)
 export(predict_numeric)
 export(predict_numeric.model_fit)
+export(predict_predint)
+export(predict_predint.model_fit)
 export(predict_quantile.model_fit)
 export(predict_raw)
 export(predict_raw.model_fit)

NEWS.md

@@ -1,33 +1,38 @@
-# parsnip (development version)
+# parsnip 1.2.0
 
-* We no longer add `eval_time` arguments to the prediction specification for the engine (#1039).
-
-* parsnip now lets the engines for [mlp()] check for acceptable values of the activation function (#1019)
+## Bug Fixes
 
 * Tightened logic for outcome checking. This resolves issues—some errors and some silent failures—when atomic outcome variables have an attribute (#1060, #1061).
 
-* `rpart_train()` has been deprecated in favor of using `decision_tree()` with the `"rpart"` engine or `rpart::rpart()` directly (#1044).
-
 * Fixed bug in fitting some model types with the `"spark"` engine (#1045).
 
 * Fixed issues in metadata for the `"brulee"` engine where several arguments were mistakenly protected. (#1050, #1054)
 
+* Fixed documentation for `mlp(engine = "brulee")`: the default values for `learn_rate` and `epochs` were swapped (#1018).
+
+* Fixed a bug in the integration with workflows where using a model formula with a formula preprocessor could result in a double intercept (#1033).
+
+## Other Changes
+
+* We no longer add `eval_time` arguments to the prediction specification for the engine (#1039).
+
+* parsnip now lets the engines for [mlp()] check for acceptable values of the activation function (#1019)
+
+* `rpart_train()` has been deprecated in favor of using `decision_tree()` with the `"rpart"` engine or `rpart::rpart()` directly (#1044).
+
 * `.filter_eval_time()` was moved to the survival standalone file. 
 
 * Improved errors and documentation related to special terms in formulas. See `?model_formula` to learn more. (#770, #1014)
 
 * Improved errors in cases where the outcome column is mis-specified. (#1003)
 
-* Fixed documentation for `mlp(engine = "brulee")`: the default values for `learn_rate` and `epochs` were swapped (#1018).
-
 * The `new_data` argument for the `predict()` method for `censoring_model_reverse_km` objects has been deprecated (#965).
 
 * When computing censoring weights, the resulting vectors are no longer named (#1023).
 
-* Fixed a bug in the integration with workflows where using a model formula with a formula preprocessor could result in a double intercept (#1033).
-
 * The `predict()` method for `censoring_model_reverse_km` objects now checks that `...` are empty (#1029).
 
+
 # parsnip 1.1.1
 
 * Fixed bug where prediction on rank deficient `lm()` models produced `.pred_res` instead of `.pred`. (#985)

R/engine_docs.R

@@ -7,6 +7,10 @@
 #' @keywords internal
 #' @export
 knit_engine_docs <- function(pattern = NULL) {
+  old_cli_opt <- options()$cli.unicode
+  on.exit(options(cli.unicode = old_cli_opt))
+  options(cli.unicode = FALSE)
+
   rmd_files <- list.files("man/rmd", pattern = "\\.Rmd", full.names = TRUE)
 
   if (!is.null(pattern)) {

R/predict_interval.R

@@ -40,21 +40,29 @@ predict_confint.model_fit <- function(object, new_data, level = 0.95, std_error
   res
 }
 
-# @export
-# @keywords internal
-# @rdname other_predict
-# @inheritParams predict.model_fit
+#' @export
+#' @keywords internal
+#' @rdname other_predict
+#' @inheritParams predict.model_fit
 predict_confint <- function(object, ...)
   UseMethod("predict_confint")
 
 # ------------------------------------------------------------------------------
 
-# @keywords internal
-# @rdname other_predict
-# @inheritParams predict.model_fit
-# @method predict_predint model_fit
-# @export predict_predint.model_fit
-# @export
+#' @export
+#' @keywords internal
+#' @rdname other_predict
+#' @inheritParams predict.model_fit
+predict_predint <- function(object, ...)
+  UseMethod("predict_predint")
+
+
+#' @keywords internal
+#' @rdname other_predict
+#' @inheritParams predict.model_fit
+#' @method predict_predint model_fit
+#' @export predict_predint.model_fit
+#' @export
 predict_predint.model_fit <- function(object, new_data, level = 0.95, std_error = FALSE, ...) {
 
   check_spec_pred_type(object, "pred_int")
@@ -88,10 +96,10 @@ predict_predint.model_fit <- function(object, new_data, level = 0.95, std_error
   res
 }
 
-# @export
-# @keywords internal
-# @rdname other_predict
-# @inheritParams predict.model_fit
+#' @export
+#' @keywords internal
+#' @rdname other_predict
+#' @inheritParams predict.model_fit
 predict_predint <- function(object, ...)
   UseMethod("predict_predint")