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articles/cognitive-services/LUIS/concepts/patterns-features.md

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@@ -316,7 +316,7 @@ The machine-learning entity in this example is more complex with nested subentit
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This example uses features at the subentity level and child of subentity level. Which level gets what kind of phrase list or model as a feature is an important part of your entity design.
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While subentities can have many phrase lists as features that help detect the entity, each subentity has only one model as a feature. In this [pizza app](/Azure/pizza_luis_bot/blob/master/CognitiveModels/MicrosoftPizza.json), those models are primarily lists.
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While subentities can have many phrase lists as features that help detect the entity, each subentity has only one model as a feature. In this [pizza app](https://github.com/Azure/pizza_luis_bot/blob/master/CognitiveModels/MicrosoftPizza.json), those models are primarily lists.
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:::image type="content" source="../media/luis-concept-patterns/pizza-example-example-phrase-lists.png" alt-text="A screenshot showing a machine learning entity many phrase lists as features." lightbox="../media/luis-concept-patterns/pizza-example-example-phrase-lists.png":::
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