rebuild site

tlverse · Dec 23, 2021 · 5f2764f · 5f2764f
1 parent 7435428
commit 5f2764f
Show file tree

Hide file tree

Showing 128 changed files with 11,570 additions and 19,812 deletions.
diff --git a/NAMESPACE b/NAMESPACE
@@ -146,7 +146,6 @@ importFrom(data.table,data.table)
 importFrom(data.table,set)
 importFrom(data.table,setcolorder)
 importFrom(data.table,setnames)
-importFrom(data.table,setorder)
 importFrom(data.table,setorderv)
 importFrom(digest,digest)
 importFrom(dplyr,"%>%")

diff --git a/R/importance.R b/R/importance.R
@@ -21,7 +21,7 @@ utils::globalVariables(c("score"))
 #' @rdname importance
 #' @keywords variable importance
 #'
-#' @importFrom data.table data.table setorder setnames
+#' @importFrom data.table data.table setorderv setnames
 #'
 #' @return A \code{data.table} of variable importance for each covariate.
 #'
@@ -228,11 +228,13 @@ importance <- function(fit, eval_fun = NULL,
 
   ############################## prep output ###################################
   # importance results ordered by decreasing importance
-  result <- data.table::data.table(covariate = names(X), metric = unlist(res_list))
+  result <- data.table::data.table(
+    covariate = names(X), metric = unlist(res_list)
+  )
   if (!is.null(covariate_groups)) {
     colnames(result)[1] <- "covariate_group"
   }
-  data.table::setorder(result, -metric)
+  data.table::setorderv(result, cols = "metric", order = -1L)
 
   # name the importance metric appropriately
   metric_name <- paste0("risk_", importance_metric)

diff --git a/README.md b/README.md
@@ -131,12 +131,12 @@ stack_fit <- learner_stack$train(task)
 preds <- stack_fit$predict()
 head(preds)
 #>    Lrnr_pkg_SuperLearner_SL.glmnet Lrnr_glm_TRUE
-#> 1:                      0.35767321    0.36298498
-#> 2:                      0.35767321    0.36298498
-#> 3:                      0.25185377    0.25993072
-#> 4:                      0.25185377    0.25993072
-#> 5:                      0.25185377    0.25993072
-#> 6:                      0.04220823    0.05680264
+#> 1:                       0.3525946    0.36298498
+#> 2:                       0.3525946    0.36298498
+#> 3:                       0.2442593    0.25993072
+#> 4:                       0.2442593    0.25993072
+#> 5:                       0.2442593    0.25993072
+#> 6:                       0.0269504    0.05680264
 #>    Pipeline(Lrnr_pkg_SuperLearner_screener_screen.glmnet->Lrnr_glm_TRUE)
 #> 1:                                                            0.36228209
 #> 2:                                                            0.36228209
@@ -1816,106 +1816,6 @@ x
 
 <td style="text-align:left;">
 
-Lrnr\_ga
-
-</td>
-
-<td style="text-align:left;">
-
-√
-
-</td>
-
-<td style="text-align:left;">
-
-√
-
-</td>
-
-<td style="text-align:left;">
-
-√
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-√
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-<td style="text-align:left;">
-
-√
-
-</td>
-
-<td style="text-align:left;">
-
-x
-
-</td>
-
-</tr>
-
-<tr>
-
-<td style="text-align:left;">
-
 Lrnr\_gam
 
 </td>
@@ -4022,7 +3922,7 @@ Lrnr\_nnls
 
 <td style="text-align:left;">
 
-√
+x
 
 </td>
 
@@ -6634,7 +6534,7 @@ prior to submitting a pull request.
 After using the `sl3` R package, please cite the following:
 
 ``` 
-    @software{coyle2021sl3-rpkg,
+ @software{coyle2021sl3-rpkg,
       author = {Coyle, Jeremy R and Hejazi, Nima S and Malenica, Ivana and
         Phillips, Rachael V and Sofrygin, Oleg},
       title = {{sl3}: Modern Pipelines for Machine Learning and {Super
@@ -6664,7 +6564,7 @@ See file `LICENSE` for details.
 
 ## References
 
-<div id="refs" class="references hanging-indent">
+<div id="refs" class="references">
 
 <div id="ref-breiman1996stacked">