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docs/src/anatomy_of_an_implementation.md

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@@ -40,7 +40,7 @@ refer to the [demonstration](@ref workflow) of the implementation given later.
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!!! tip "Quick Start for new implementations"
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1. From this tutorial, read at least "[A basic implementation](@ref)" below.
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1. Looking over the examples in "[Common Implementation Patterns](@ref patterns)", identify the apppropriate core learner pattern above for your algorithm.
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1. Looking over the examples in "[Common Implementation Patterns](@ref patterns)", identify the appropriate core learner pattern above for your algorithm.
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1. Implement `fit` (probably following an existing example). Read the [`fit`](@ref) document string to see what else may need to be implemented, paying particular attention to the "New implementations" section.
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3. Rinse and repeat with each new method implemented.
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4. Identify any additional [learner traits](@ref traits) that have appropriate overloadings; use the [`@trait`](@ref) macro to define these in one block.

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