Added warnolny=true to documentation build

sylvaticus · Jan 18, 2024 · aeb0401 · aeb0401
1 parent c6dc373
commit aeb0401
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Showing 4 changed files with 6 additions and 5 deletions.
diff --git a/docs/make.jl b/docs/make.jl
@@ -171,6 +171,7 @@ makedocs(sitename="BetaML.jl Documentation",
             ],
          ],
          format = Documenter.HTML(prettyurls = false, analytics = "G-JYKX8QY5JW"),
+         warnonly = true,
          #strict = true,
          #doctest = false,
          #source  = SRC_TEMPDIR, # Attention here !!!!!!!!!!!

diff --git a/docs/src/GMM.md b/docs/src/GMM.md
@@ -9,7 +9,6 @@ GMM
 ```@index
 Modules = [GMM]
 Order   = [:function, :constant, :type, :macro]
-Private = false
 ```
 
 ## Detailed API

diff --git a/docs/src/tutorials/Classification - cars/betaml_tutorial_classification_cars.jl b/docs/src/tutorials/Classification - cars/betaml_tutorial_classification_cars.jl
@@ -63,8 +63,9 @@ data = @pipe HTTP.get(urlDataOriginal).body
 println(now(), " ", "- data wrangling..." )  #src
 # This results in a table where the rows are the observations (the various cars' models) and the column the fields. All BetaML models expect this layout.
 
-# As the dataset is ordered, we randomly shuffle the data. 
-data[shuffle(copy(AFIXEDRNG),axes(data, 1)), :]
+# As the dataset is ordered, we randomly shuffle the data.
+idx = randperm(copy(AFIXEDRNG),size(data,1))
+data[idx, :]
 describe(data)
 
 # Columns 1 to 7 contain  characteristics of the car, while column 8 encodes the country or origin ("1" -> US, "2" -> EU, "3" -> Japan). That's the variable we want to be able to predict.

diff --git a/src/Nn/Nn_MLJ.jl b/src/Nn/Nn_MLJ.jl
@@ -85,7 +85,7 @@ Base.@kwdef mutable struct NeuralNetworkRegressor <: MMI.Deterministic
     descr::String = "" 
     "A call back function to provide information during training [def: `fitting_info`]"
     cb::Function=fitting_info
-    "Random Number Generator (see [`BetaML.FIXEDSEED`](@ref)) [deafult: `Random.GLOBAL_RNG`]
+    "Random Number Generator (see [`FIXEDSEED`](@ref)) [deafult: `Random.GLOBAL_RNG`]
     "
     rng::AbstractRNG = Random.GLOBAL_RNG
 end
@@ -199,7 +199,7 @@ Base.@kwdef mutable struct MultitargetNeuralNetworkRegressor <: MMI.Deterministi
     descr::String = "" 
     "A call back function to provide information during training [def: `BetaML.fitting_info`]"
     cb::Function=fitting_info
-    "Random Number Generator (see [`BetaML.FIXEDSEED`](@ref)) [deafult: `Random.GLOBAL_RNG`]
+    "Random Number Generator (see [`FIXEDSEED`](@ref)) [deafult: `Random.GLOBAL_RNG`]
     "
     rng::AbstractRNG = Random.GLOBAL_RNG
 end