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Fix doc link #43

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Nov 2, 2024
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Fix doc link #43

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2 changes: 1 addition & 1 deletion docs/src/fit_update.md
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# [`fit`, `update`, `update_observations`, and `update_features`](@id fit)
# [`fit`, `update`, `update_observations`, and `update_features`](@id fit_docs)

### Training

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16 changes: 8 additions & 8 deletions docs/src/reference.md
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Expand Up @@ -150,16 +150,16 @@ minimal (but useless) implementation, see the implementation of `SmallLearner`

### List of methods

- [`fit`](@ref fit): for (i) training or updating learners that generalize to new data; or
(ii) wrapping `learner` in an object that is possibly mutated by `predict`/`transform`,
to record byproducts of those operations, in the special case of *non-generalizing*
learners (called here [static algorithms](@ref static_algorithms))
- [`fit`](@ref fit_docs): for (i) training or updating learners that generalize to new
data; or (ii) wrapping `learner` in an object that is possibly mutated by
`predict`/`transform`, to record byproducts of those operations, in the special case of
*non-generalizing* learners (called here [static algorithms](@ref static_algorithms))

- [`update`](@ref fit): for updating learning outcomes after hyperparameter changes, such
as increasing an iteration parameter.
- [`update`](@ref fit_docs): for updating learning outcomes after hyperparameter changes,
such as increasing an iteration parameter.

- [`update_observations`](@ref fit), [`update_features`](@ref fit): update learning
outcomes by presenting additional training data.
- [`update_observations`](@ref fit_docs), [`update_features`](@ref fit_docs): update
learning outcomes by presenting additional training data.

- [`predict`](@ref operations): for outputting [targets](@ref proxy) or [target
proxies](@ref proxy) (such as probability density functions)
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