🤔 Further ensure all inputs are float

src/encoders.jl

@@ -19,10 +19,12 @@ function ordinal_encoder_fit(X; featinds)
         feat_col = Tables.getcolumn(X, i)
         feat_levels = levels(feat_col)
         # Check if feat levels is already ordinal encoded in which case we skip
-        (Set(1:length(feat_levels)) == Set(feat_levels)) && continue
+        (Set([float(i) for i in 1:length(feat_levels)]) == Set(feat_levels)) && continue
         # Compute the dict using the given feature_mapper function
         mapping_matrix[i] =
-            Dict{Any, Integer}(value => float(index) for (index, value) in enumerate(feat_levels))
+            Dict{Any, AbstractFloat}(
+                value => float(index) for (index, value) in enumerate(feat_levels)
+            )
     end
     return mapping_matrix
 end