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docs/src/reference.md

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@@ -60,8 +60,8 @@ More generally, whenever we have a variable (e.g., a class label) that can, at l
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principle, be paired with a predicted value, or some predicted "proxy" for that variable
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(such as a class probability), then we call the variable a *target* variable, and the
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predicted output a *target proxy*. In this definition, it is immaterial whether or not the
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target appears in training (is supervised) or whether or not the model generalizes to new
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observations ("learns").
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target appears in training (the algorithm is supervised) or whether or not predictions
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generalize to new input observations (the algorithm "learns").
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LearnAPI.jl provides singleton [target proxy types](@ref proxy_types) for prediction
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dispatch. These are also used to distinguish performance metrics provided by the package

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