fix bad urls

docs/make.jl

@@ -7,7 +7,7 @@ const  REPO = Remotes.GitHub("JuliaAI", "LearnAPI.jl")
 makedocs(
     modules=[LearnAPI,],
     format=Documenter.HTML(
-        prettyurls = get(ENV, "CI", nothing) == "true",
+        prettyurls = true,#get(ENV, "CI", nothing) == "true",
         collapselevel = 1,
     ),
     pages=[

docs/src/anatomy_of_an_implementation.md

@@ -366,8 +366,8 @@ An implementation may optionally implement [`obs`](@ref), to expose to the user
 meta-algorithm like cross-validation) the representation of input data internal to `fit`
 or `predict`, such as the matrix version `A` of `X` in the ridge example.  That is, we may
 factor out of `fit` (and also `predict`) the data pre-processing step, `obs`, to expose
-its outcomes. These outcomes become alternative user inputs to `fit`. To see the use of
-`obs` in action, see [below](@ref advanced_demo).
+its outcomes. These outcomes become alternative user inputs to `fit`/`predict`. To see the
+use of `obs` in action, see [below](@ref advanced_demo).
 
 Here we specifically wrap all the pre-processed data into single object, for which we
 introduce a new type:
@@ -536,7 +536,5 @@ declaration.
 ³ The last index must be the observation index.
 
 ⁴ The `data = (X, y)` pattern implemented here is not the only supported pattern. For,
-example, `data` might be a single table containing both features and target variable. In
-this case, it will be necessary to overload [`LearnAPI.features`](@ref) in addition to
-[`LearnAPI.target`](@ref); the name of the target column would need to be a
-hyperparameter.
+example, `data` might be `(T, formula)` where `T` is a table and `formula` is an R-style
+formula.

docs/src/fit_update.md

@@ -17,7 +17,7 @@ clustering algorithms); there is no training data and the algorithm is executed
 ```
 update(model, data; verbosity=..., param1=new_value1, param2=new_value2, ...) -> updated_model
 update_observations(model, new_data; verbosity=..., param1=new_value1, ...) -> updated_model
-update_features(model, new_data; verbosity=1, param1=new_value1, ...) -> updated_model
+update_features(model, new_data; verbosity=..., param1=new_value1, ...) -> updated_model
 ```
 
 ## Typical workflows

docs/src/index.md

@@ -2,11 +2,11 @@
 <script async defer src="https://buttons.github.io/buttons.js"></script>
 
 <div style="font-size:1.4em;font-weight:bold;">
-  <a href="anatomy_of_an_implementation.html"
+  <a href="anatomy_of_an_implementation"
     style="color: #389826;">Tutorial</a>           &nbsp;|&nbsp;
-  <a href="reference.html"
+  <a href="reference"
     style="color: #9558B2;">Reference</a>      &nbsp;|&nbsp;
-  <a href="common_implementation_patterns.html"
+  <a href="common_implementation_patterns"
     style="color: #9558B2;">Patterns</a>
 </div>