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Fixes typo in autoscaling docs (#2859) (#2860)
* Improves trained model autoscaling docs. * Fixes typo in autoscaling docs. (cherry picked from commit 6f34f30) Co-authored-by: István Zoltán Szabó <[email protected]>
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docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc

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@@ -25,7 +25,7 @@ This can help you to manage performance and cost more easily.
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When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load.
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When the load is high, a new model allocation is automatically created.
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When the load is low, a model allocation is automatically removed.
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You must explicitely set the minimum and maximum number of allocations; autoscaling will occur within these limits.
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You can explicitely set the minimum and maximum number of allocations; autoscaling will occur within these limits.
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You can enable adaptive allocations by using:
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