typo

Author: ablaom

docs/src/index.md

@@ -98,7 +98,7 @@ A key to enabling toolboxes to enhance LearnAPI.jl algorithm functionality is th
 implementation of two key additional methods, beyond the usual `fit` and
 `predict`/`transform`. Given any training `data` consumed by `fit` (such as `data = (X,
 y)` in the example above) [`LearnAPI.features(algorithm, data)`](@ref input) tells us what
-part of `data` comprises *features*, which is something that can be passsed onto to
+part of `data` comprises *features*, which is something that can be passed onto to
 `predict` or `transform` (`X` in the example) while [`LearnAPI.target(algorithm,
 data)`](@ref), if implemented, tells us what part comprises the target (`y` in the
 example). By explicitly requiring such methods, we free algorithms to consume data in