improve plots (#225)

Author: matbesancon

docs/src/examples/autotuning-ridge.jl

@@ -91,11 +91,14 @@ end
 
 Plots.plot(
     αs, mse_test ./ sum(mse_test),
-    label="MSE test", xaxis = "α", yaxis="MSE", legend=(0.8, 0.2)
+    label="MSE test", xaxis = "α", yaxis="MSE", legend=(0.8, 0.2),
+    width=3,
 )
 Plots.plot!(
     αs, mse_train ./ sum(mse_train),
-    label="MSE train"
+    label="MSE train",
+    linestyle=:dash,
+    width=3,
 )
 Plots.title!("Normalized MSE on training and testing sets")
 
@@ -169,9 +172,15 @@ iters = 1:length(ᾱ);
 
 Plots.plot(
     αs, mse_test,
-    label="MSE test", xaxis = ("α"), legend=:topleft
+    label="MSE test", xaxis = ("α"),
+    legend=:topleft,
+    width=2,
+)
+Plots.plot!(
+    ᾱ, msē,
+    label="learned α", width = 5,
+    style=:dot,
 )
-Plots.plot!(ᾱ, msē, label="learned α", lw = 2)
 Plots.title!("Regularizer learning")
 
 # Visualize the convergence of α to its optimal value