update tests

Author: guilhermebodin

test/models/linear_regression.jl

@@ -6,7 +6,7 @@
         X = rand(100, 5)
         y = rand(100)
         model = LinearRegression(X, y)
-        fit!(model)
+        fit!(model; save_hyperparameter_distribution_results=false)
         β = X \ y
         for i in 1:size(X, 2)
             @test get_constrained_value(model, "β_$i") .≈ β[i] atol = 1e-5
@@ -27,7 +27,7 @@
         10.0
     ]
     model = LinearRegression(X, y)
-    fit!(model)
+    fit!(model; save_hyperparameter_distribution_results=false)
     forec = forecast(model, [1 6.0])
     forec.expected_value[1] == [11.0]
 end

test/visualization/forecast.jl

@@ -2,7 +2,7 @@
     air_passengers = CSV.File(StateSpaceModels.AIR_PASSENGERS) |> DataFrame
     log_air_passengers = log.(air_passengers.passengers)
     model = BasicStructural(log_air_passengers, 12)
-    fit!(model)
+    fit!(model; save_hyperparameter_distribution_results=false)
     # forecasting
     forec = forecast(model, 12)
     rec = RecipesBase.apply_recipe(Dict{Symbol, Any}(), model, forec)