doc tweak

Author: ablaom

docs/src/common_implementation_patterns.md

@@ -1,4 +1,4 @@
-# Common Implementation Patterns
+# [Common Implementation Patterns](@id patterns)
 
 !!! important
 

docs/src/index.md

@@ -11,11 +11,11 @@ A base Julia interface for machine learning and statistics </span>
 
 LearnAPI.jl is a lightweight, functional-style interface, providing a collection of
 [methods](@ref Methods), such as `fit` and `predict`, to be implemented by algorithms from
-machine learning and statistics. Its careful design ensures algorithms implementing
-LearnAPI.jl can buy into functionality, such as external performance estimates,
-hyperparameter optimization and model composition, provided by ML/statistics toolboxes and
-other packages. LearnAPI.jl includes a number of Julia [traits](@ref traits) for promising
-specific behavior.
+machine learning and statistics, some examples of which are listed [here](@ref
+patterns). A careful design ensures algorithms implementing LearnAPI.jl can buy into
+functionality, such as external performance estimates, hyperparameter optimization and
+model composition, provided by ML/statistics toolboxes and other packages. LearnAPI.jl
+includes a number of Julia [traits](@ref traits) for promising specific behavior.
 
 LearnAPI.jl's only dependency is the standard library `InteractiveUtils`. 
 
@@ -99,7 +99,7 @@ loaders reading images from disk).
 
 - [Reference](@ref reference): official specification
 
-- [Common Implementation Patterns](@ref): implementation suggestions for common,
+- [Common Implementation Patterns](@ref patterns): implementation suggestions for common,
   informally defined, algorithm types
 
 - [Testing an Implementation](@ref)

docs/src/reference.md

@@ -2,7 +2,7 @@
 
 Here we give the definitive specification of the LearnAPI.jl interface. For informal
 guides see [Anatomy of an Implementation](@ref) and [Common Implementation
-Patterns](@ref).
+Patterns](@ref patterns).
 
 
 ## [Important terms and concepts](@id scope)