Merge pull request #49 from acfr/dev

Removed unused packages from Project.toml
acfr · Apr 14, 2023 · fe1e957 · fe1e957
2 parents 5eede27 + a158c08
commit fe1e957
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Showing 2 changed files with 6 additions and 8 deletions.
diff --git a/Project.toml b/Project.toml
@@ -1,16 +1,12 @@
 name = "RobustNeuralNetworks"
 uuid = "a1f18e6b-8af1-433f-a85d-2e1ee636a2b8"
-authors = ["Nicholas Barbara", "Ruigang Wang", "Jing Cheng", "Jerome Justin", "Ian Manchester"]
-version = "0.1.0"
+authors = ["Nicholas H. Barbara", "Max Revay", "Ruigang Wang", "Jing Cheng", "Jerome Justin", "Ian R. Manchester"]
+version = "0.1.1"
 
 [deps]
-BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
-Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
-DocumenterTools = "35a29f4d-8980-5a13-9543-d66fff28ecb8"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MatrixEquations = "99c1a7ee-ab34-5fd5-8076-27c950a045f4"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

diff --git a/README.md b/README.md
@@ -19,7 +19,7 @@ Pkg.add("[email protected]:acfr/RobustNeuralNetworks.jl.git")
 
 You should now be able to construct robust neural network models. The following example constructs a contracting REN and evalutates it given a batch of random initial states `x0` and inputs `u0`.
 
-```jldoctest
+```julia
 using Random
 using RobustNeuralNetworks
 
@@ -40,9 +40,11 @@ u0 = randn(rng, ren.nu, batches)
 x1, y1 = ren(x0, u0)
 
 println(round.(y1;digits=2))
+```
 
-# output
+The output should be:
 
+```julia
 [-31.41 0.57 -0.55 -3.56 -35.0 -18.28 -25.48 -7.49 -4.14 15.31]
 ```