Fix issue with sv_interaction(kind = "bar")

Author: mayer79

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: shapviz
 Title: SHAP Visualizations
-Version: 0.10.1
+Version: 0.10.2
 Authors@R: c(
     person("Michael", "Mayer", , "[email protected]", role = c("aut", "cre")),
     person("Adrian", "Stando", , "[email protected]", role = "ctb")

NEWS.md

@@ -1,3 +1,9 @@
+# shapviz 0.10.2
+
+### Bug fixes
+
+- `sv_interaction(..., type = "bar")`: Bars of feature pairs appeared twice, see [#178]([https://github.com/ModelOriented/shapviz/issues/178]).
+
 # shapviz 0.10.1
 
 ### Maintenance

R/sv_interaction.R

@@ -81,11 +81,15 @@ sv_interaction.shapviz <- function(
   }
 
   if (kind == "bar") {
+    # Drop symmetric part for plotting
+    M[row(M) > col(M)] <- NA
+
     # Turn to long format and make feature pair names
     imp_df <- transform(
       as.data.frame.table(M, responseName = "value"),
       feature = ifelse(Var1 == Var2, as.character(Var1), paste(Var1, Var2, sep = ":"))
     )
+    imp_df <- imp_df[!is.na(imp_df$value), ]
     if (sort_features) {
       imp_df <- imp_df[order(imp_df$value, decreasing = TRUE), ]
       imp_df <- transform(imp_df, feature = factor(feature, levels = rev(feature)))

cran-comments.md

@@ -1,11 +1,8 @@
-# shapviz 0.10.1
+# shapviz 0.10.2
 
 Hello CRAN team
 
-Today, I have pushed 0.10.0 to CRAN. Unfortunately, I have not correctly adapted the minimal version of its
-ggplot2 dependency in the DESCRIPTION, which is very important. This small update fixes this.
-
-Thank you for your understanding (and flexibility!).
+This small update fixes a mistake in a new visualization, where feature pairs appeared twice (a:b and b:a).
 
 ### Local checks
 

packaging.R

@@ -15,7 +15,7 @@ library(usethis)
 use_description(
   fields = list(
     Title = "SHAP Visualizations",
-    Version = "0.10.1",
+    Version = "0.10.2",
     Description = "Visualizations for SHAP (SHapley Additive exPlanations),
     such as waterfall plots, force plots, various types of importance plots,
     dependence plots, and interaction plots.