Set hideall for the basic example noteboko

docs/src/basic-example.jl

@@ -6,6 +6,7 @@ using InteractiveUtils
 
 # ╔═╡ 8ca5e9f4-539c-11ee-0b5a-ab77d2a5bfbf
 # ╠═╡ show_logs = false
+# hideall
 begin
 	ENV["DATADEPS_ALWAYS_ACCEPT"] = "true"
 
@@ -49,7 +50,7 @@ We load it via `DataDeps.jl` so that we can use a checksum for verification and
 
 # ╔═╡ 75550619-b310-4c66-9371-93656f78765c
 # ╠═╡ show_logs = false
-let
+function register_haberman()
     name = "Haberman"
     message = "Haberman's Survival Data Set"
     remote_path = "https://github.com/rikhuijzer/haberman-survival-dataset/releases/download/v1.0.0/haberman.csv"
@@ -59,21 +60,25 @@ end;
 
 # ╔═╡ 05aaa007-0fe0-44ef-b815-ecf9e5f474f7
 md"""
-After dataset registration, we can load it into a `DataFrame`:
+We can call this registration function and then load the dataset:
 """
 
 # ╔═╡ ac2d7dbc-364f-437f-b66f-8eb288395275
-data = let
-    dir = datadep"Haberman"
-    path = joinpath(dir, "haberman.csv")
+function load_haberman()::DataFrame
+    register_haberman()
+    path = joinpath(datadep"Haberman", "haberman.csv")
     df = CSV.read(path, DataFrame)
     df[!, :survival] = categorical(df.survival)
     df
-end
+end;
 
 # ╔═╡ 08a4ca2b-bc65-4c29-9528-f4789272143a
 md"And split it into features (`X`) and outcomes (`y`):"
 
+# ╔═╡ 472a1dd1-dc10-4707-81f8-f2a0b68082fb
+# ╠═╡ show_logs = false
+data = load_haberman()
+
 # ╔═╡ e037d952-e489-41b6-afc9-317a8c17e6c4
 X = select(data, Not(:survival));
 
@@ -186,6 +191,7 @@ evaluate(model, X, y; resampling, measure=auc)
 # ╠═05aaa007-0fe0-44ef-b815-ecf9e5f474f7
 # ╠═ac2d7dbc-364f-437f-b66f-8eb288395275
 # ╠═08a4ca2b-bc65-4c29-9528-f4789272143a
+# ╠═472a1dd1-dc10-4707-81f8-f2a0b68082fb
 # ╠═e037d952-e489-41b6-afc9-317a8c17e6c4
 # ╠═2f921f63-5148-4726-9839-c84217f60e0b
 # ╠═a1764625-4b7a-42f3-9e61-3d26122d86da