Deploying to gh-pages from @ fe5c0d1 🚀

Author: bgreenwell

articles/faster-pdp.html

@@ -32,13 +32,13 @@ system.time(  # classic: one predict() call per grid point
   pd1 <- partial(boston.rf, pred.var = "lstat", train = boston)
 )
 #>    user  system elapsed 
-#>   0.446   0.015   0.461
+#>   0.416   0.009   0.425
 system.time(  # batched: score up to one million rows per predict() call
   pd2 <- partial(boston.rf, pred.var = "lstat", train = boston,
                  batch.size = 1e6)
 )
 #>    user  system elapsed 
-#>   0.185   0.000   0.184
+#>   0.177   0.001   0.178
 identical(pd1, pd2)
 #> [1] TRUE
 ```
@@ -106,13 +106,13 @@ system.time(
                           train = boston)  # recursive = TRUE is the default
 )
 #>    user  system elapsed 
-#>   0.002   0.000   0.002
+#>   0.001   0.000   0.002
 system.time(
   pd.brute <- partial(boston.gbm, pred.var = "lstat", n.trees = 500,
                       recursive = FALSE, train = boston, batch.size = 1e6)
 )
 #>    user  system elapsed 
-#>   0.282   0.002   0.284
+#>   0.289   0.002   0.290
 ```
 
 Overlaying the results shows that the two methods produce nearly the

articles/faster-pdp.md

@@ -8,7 +8,7 @@
 ## Citation
 
 Source:
-[`inst/CITATION`](https://github.com/bgreenwell/pdp/blob/v0.9.1/inst/CITATION)
+[`inst/CITATION`](https://github.com/bgreenwell/pdp/blob/main/inst/CITATION)
 
 Brandon M. Greenwell (2017). pdp: An R Package for Constructing Partial
 Dependence Plots. The R Journal, 9(1), 421--436. URL

articles/ice-curves.html

@@ -78,7 +78,7 @@ with any graphics package.
   [doi:10.32614/RJ-2017-016](https://doi.org/10.32614/RJ-2017-016)
   (`citation("pdp")`)
 - For variable importance (which pairs naturally with feature effects),
-  see [vip](https://koalaverse.github.io/vip/)
+  see [vip](https://bgreenwell.github.io/vip/)
 
 ## Development
 

articles/pdp.html

@@ -78,7 +78,7 @@ with any graphics package.
   [doi:10.32614/RJ-2017-016](https://doi.org/10.32614/RJ-2017-016)
   (`citation("pdp")`)
 - For variable importance (which pairs naturally with feature effects),
-  see [vip](https://koalaverse.github.io/vip/)
+  see [vip](https://bgreenwell.github.io/vip/)
 
 ## Development