Merge pull request #387 from tidymodels/0.1.4-RC

0.1.4 RC

Author: topepo

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: parsnip
-Version: 0.1.3.9000
+Version: 0.1.4
 Title: A Common API to Modeling and Analysis Functions
 Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc). 
 Authors@R: c(

NEWS.md

@@ -1,4 +1,4 @@
-# parsnip (development version)
+# parsnip 0.1.4
 
 * `show_engines()` will provide information on the current set for a model. 
 

README.md

@@ -141,11 +141,11 @@ rand_forest(mtry = 10, trees = 2000) %>%
   fit(mpg ~ ., data = mtcars)
 #> parsnip model object
 #> 
-#> Fit time:  98ms 
+#> Fit time:  71ms 
 #> Ranger result
 #> 
 #> Call:
-#>  ranger::ranger(formula = mpg ~ ., data = data, mtry = ~10, num.trees = ~2000,      importance = ~"impurity", num.threads = 1, verbose = FALSE,      seed = sample.int(10^5, 1)) 
+#>  ranger::ranger(x = maybe_data_frame(x), y = y, mtry = min_cols(~10,      x), num.trees = ~2000, importance = ~"impurity", num.threads = 1,      verbose = FALSE, seed = sample.int(10^5, 1)) 
 #> 
 #> Type:                             Regression 
 #> Number of trees:                  2000 

vignettes/parsnip_Intro.Rmd

@@ -109,7 +109,7 @@ rf_with_seed %>%
 #> Ranger result
 #> 
 #> Call:
-#>  ranger::ranger(formula = formula, data = data, mtry = ~4, num.trees = ~2000,      seed = sample.int(10^5, 1), num.threads = 1, verbose = FALSE) 
+#>  ranger::ranger(x = maybe_data_frame(x), y = y, mtry = min_cols(~4, x), num.trees = ~2000, num.threads = 1, verbose = FALSE, seed = sample.int(10^5, 1)) 
 #> 
 #> Type:                             Regression 
 #> Number of trees:                  2000 
@@ -138,7 +138,7 @@ rf_with_seed %>%
 #> 
 #> 
 #> Call:
-#>  randomForest(x = as.data.frame(x), y = y, ntree = ~2000, mtry = ~4) 
+#>  randomForest(x = maybe_data_frame(x), y = y, ntree = ~2000, mtry = min_cols(~4, x)) 
 #>                Type of random forest: regression
 #>                      Number of trees: 2000
 #> No. of variables tried at each split: 4
@@ -149,7 +149,7 @@ rf_with_seed %>%
 
 Note that the call objects show `num.trees = ~2000`. The tilde is the consequence of `parsnip` using [quosures](https://adv-r.hadley.nz/evaluation.html#quosures) to process the model specification's arguments. 
 
-Normally, when a function is executed, the function's arguments are immediately evaluated. In the case of `parsnip`, the model specification's arguments are _not_; the [expression is captured](https://www.tidyverse.org/articles/2019/04/parsnip-internals/) along with the environment where it should be evaluated. That is what a quosure does. 
+Normally, when a function is executed, the function's arguments are immediately evaluated. In the case of `parsnip`, the model specification's arguments are _not_; the [expression is captured](https://www.tidyverse.org/blog/2019/04/parsnip-internals/) along with the environment where it should be evaluated. That is what a quosure does. 
 
 `parsnip` uses these expressions to make a model fit call that is evaluated. The tilde in the call above reflects that the argument was captured using a quosure.