doc tweak

Author: ablaom

docs/src/patterns/density_estimation.md

@@ -1,17 +1,17 @@
 # Density Estimation
 
-In density estimators, `fit` is trained only on [target data](@ref proxy), and
-`predict(model, kind_of_proxy)` consumes no data at all, a pattern flagged by the
-identities [`LearnAPI.target(learner, y)`](@ref)` == y` and
-[`LearnAPI.kind_of(learner)`](@ref)` == `[`LearnAPI.Generative()`](@ref).
+In density estimators, `fit` is trained only on [target data](@ref proxy), and `predict`
+consumes no data at all, a pattern flagged by the identities [`LearnAPI.target(learner,
+y)`](@ref)` == y` and [`LearnAPI.kind_of(learner)`](@ref)` ==
+`[`LearnAPI.Generative()`](@ref), respetively.
 
 
 Typically `predict` returns a single probability density/mass function. Here's a sample
 workflow:
 
 ```julia
 model = fit(learner, y) # no features
-predict(model)  # shortcut for  `predict(model, Distribution())`, or similar
+predict(model)          # shortcut for  `predict(model, Distribution())`, or similar
 ```
 
 A one-line convenience method will typically be implemented as well: