Merge pull request #425 from cmu-delphi/hotfix

patch drop_ignored_keys broken grouped behavior

Author: dsweber2

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: epipredict
 Title: Basic epidemiology forecasting methods
-Version: 0.1.3
+Version: 0.1.4
 Authors@R: c(
     person("Daniel J.", "McDonald", , "[email protected]", role = c("aut", "cre")),
     person("Ryan", "Tibshirani", , "[email protected]", role = "aut"),

R/utils-latency.R

@@ -359,6 +359,7 @@ drop_ignored_keys <- function(training, keys_to_ignore) {
   # note that the extra parenthesis black magic is described here: https://github.com/tidyverse/dplyr/issues/6194
   # and is needed to bypass an incomplete port of `across` functions to `if_any`
   training %>%
+    ungroup() %>%
     filter((dplyr::if_all(
       names(keys_to_ignore),
       ~ . %nin% keys_to_ignore[[cur_column()]]