Solve the future size issues (#98)

* return plots as png

* Fix format

* Replacing  the Manifest... again.... 😡😡😡😡

* Apply suggestions from code review

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Use hide trick

* Update examples/a-regression/script.jl

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Use plt instead of ans

* Formatting

* Change hide

* Try new syntax

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: theogf

examples/a-regression/Project.toml

@@ -1,5 +1,6 @@
 [deps]
 ApproximateGPs = "298c2ebc-0411-48ad-af38-99e88101b606"
+DisplayAs = "0b91fe84-8a4c-11e9-3e1d-67c38462b6d6"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"

examples/a-regression/script.jl

@@ -12,9 +12,10 @@
 using ApproximateGPs
 using Distributions
 using LinearAlgebra
+#jl using DisplayAs
 
 using Plots
-default(; palette=:seaborn_colorblind, legend=:outertopright, size=(700, 400))
+default(; fmt=:png, palette=:seaborn_colorblind, legend=:outertopright, size=(700, 400))
 
 using Random
 Random.seed!(1234);
@@ -29,7 +30,10 @@ N = 10000 # Number of training points
 x = rand(Uniform(-1, 1), N)
 y = g.(x) + 0.3 * randn(N)
 
-scatter(x, y; xlabel="x", ylabel="y", markershape=:xcross, markeralpha=0.1, legend=false)
+plt = scatter(
+    x, y; xlabel="x", ylabel="y", markershape=:xcross, markeralpha=0.1, legend=false
+)
+#jl DisplayAs.PNG(plt)
 
 # ## Set up a Flux model
 #
@@ -145,7 +149,7 @@ model = SVGPModel(k_init, z_init, m_init, A_init);
 # very poor fit to the data, as expected:
 
 init_post = model_posterior(model)
-scatter(
+plt = scatter(
     x,
     y;
     xlabel="x",
@@ -154,7 +158,8 @@ scatter(
     markeralpha=0.1,
     label="Training Data",
 )
-plot!(-1:0.001:1, init_post; label="Initial Posterior", color=4)
+plot!(plt, -1:0.001:1, init_post; label="Initial Posterior", color=4)
+#jl DisplayAs.PNG(plt)
 
 # ## Training the model
 #
@@ -195,7 +200,7 @@ loss(model, x, y)
 
 post = model_posterior(model)
 
-scatter(
+plt = scatter(
     x,
     y;
     markershape=:xcross,
@@ -207,5 +212,6 @@ scatter(
     label="Training Data",
     color=1,
 )
-plot!(-1:0.001:1, post; label="Posterior", color=4)
-sticks!(model.z, fill(0.13, M); label="Pseudo-points", linewidth=1.5, color=5)
+plot!(plt, -1:0.001:1, post; label="Posterior", color=4)
+sticks!(plt, model.z, fill(0.13, M); label="Pseudo-points", linewidth=1.5, color=5)
+#jl DisplayAs.PNG(plt)