RC 1.3.0 (#1253)

* overdue examples for brulee

* namespace to anchor links

* polish news

* update model file

* redoc

* small updates

* doc update

* install torch

Author: topepo

.github/workflows/pkgdown.yaml

@@ -49,6 +49,11 @@ jobs:
           tensorflow::install_tensorflow(version='2.13', conda_python_version = NULL)
         shell: Rscript {0}
 
+      - name: Install Torch
+        run: |
+          torch::install_torch()
+        shell: Rscript {0}
+
       - name: Build site
         run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE)
         shell: Rscript {0}

DESCRIPTION

@@ -1,11 +1,11 @@
 Package: parsnip
 Title: A Common API to Modeling and Analysis Functions
-Version: 1.2.1.9004
+Version: 1.3.0
 Authors@R: c(
     person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre")),
     person("Davis", "Vaughan", , "[email protected]", role = "aut"),
     person("Emil", "Hvitfeldt", , "[email protected]", role = "ctb"),
-    person("Posit Software, PBC", role = c("cph", "fnd"), comment = c(ROR = "03wc8by49"))
+    person("Posit Software, PBC", role = c("cph", "fnd"))
   )
 Maintainer: Max Kuhn <[email protected]>
 Description: A common interface is provided to allow users to specify a
@@ -70,10 +70,10 @@ Suggests:
 VignetteBuilder: 
     knitr
 ByteCompile: true
-Config/Needs/website: C50, dbarts, earth, glmnet, keras, kernlab, kknn,
-    LiblineaR, mgcv, nnet, parsnip, quantreg, randomForest, ranger, rpart, 
-    rstanarm, tidymodels/tidymodels, tidyverse/tidytemplate, rstudio/reticulate,
-    xgboost, rmarkdown
+Config/Needs/website: brulee, C50, dbarts, earth, glmnet, keras, kernlab,
+    kknn, LiblineaR, mgcv, nnet, parsnip, quantreg, randomForest, ranger,
+    rpart, rstanarm, tidymodels/tidymodels, tidyverse/tidytemplate,
+    rstudio/reticulate, xgboost, rmarkdown
 Config/rcmdcheck/ignore-inconsequential-notes: true
 Config/testthat/edition: 3
 Encoding: UTF-8

NEWS.md

@@ -1,4 +1,4 @@
-# parsnip (development version)
+# parsnip 1.3.0
 
 ## New Features
 
@@ -7,16 +7,17 @@
   * Predictions are encoded via a custom vector type. See [hardhat::quantile_pred()].
   * Predicted quantile levels are designated when the new mode is specified. See `?set_mode`.
 
-* `fit_xy()` can now take dgCMatrix input for `x` argument (#1121).
-
-* `fit_xy()` can now take sparse tibbles as data values (#1165).
-
-* `predict()` can now take dgCMatrix and sparse tibble input for `new_data` argument, and error informatively when model doesn't support it (#1167).
+* Updates for sparse data formats:  
+  * `fit_xy()` can now take dgCMatrix input for `x` argument (#1121).
+  * `fit_xy()` can now take sparse tibbles as data values (#1165).
+  * `predict()` can now take dgCMatrix and sparse tibble input for `new_data` argument, and error informatively when model doesn't support it (#1167).
 
 * New `extract_fit_time()` method has been added that returns the time it took to train the model (#853).
 
 * `mlp()` with `keras` engine now work for all activation functions currently supported by `keras` (#1127).
 
+* `mlp()` now has a  `brulee_two_layer` engine.
+
 ## Other Changes
 
 * Transitioned package errors and warnings to use cli (#1147 and #1148 by @shum461, #1153 by @RobLBaker and @wright13, #1154 by @JamesHWade, #1160, #1161, #1081).
@@ -49,7 +50,6 @@
 
 * `NULL` is no longer accepted as an engine (#1242).
 
-
 # parsnip 1.2.1
 
 * Added a missing `tidy()` method for survival analysis glmnet models (#1086).

inst/models.tsv

@@ -44,6 +44,7 @@
 "discrim_regularized"	"classification"	"klaR"	"discrim"
 "gen_additive_mod"	"classification"	"mgcv"	NA
 "gen_additive_mod"	"regression"	"mgcv"	NA
+"linear_reg"	"quantile regression"	"quantreg"	NA
 "linear_reg"	"regression"	"brulee"	NA
 "linear_reg"	"regression"	"gee"	"multilevelmod"
 "linear_reg"	"regression"	"glm"	NA
@@ -55,7 +56,6 @@
 "linear_reg"	"regression"	"lm"	NA
 "linear_reg"	"regression"	"lme"	"multilevelmod"
 "linear_reg"	"regression"	"lmer"	"multilevelmod"
-"linear_reg"	"quantile regression"	"quantreg"	NA
 "linear_reg"	"regression"	"spark"	NA
 "linear_reg"	"regression"	"stan"	NA
 "linear_reg"	"regression"	"stan_glmer"	"multilevelmod"