[DOCS] Updates methods for upgrading machine learning #38876
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droberts195
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LGTM
I think this should be backported to 6.7
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* master: Address some CCR REST test case flakiness (elastic#38975) Edits to text in Completion Suggester doc (elastic#38980) SQL: doc polishing [DOCS] Fixes broken formatting SQL: Polish the rest chapter (elastic#38971) Remove `nGram` and `edgeNGram` token filter names (elastic#38911) Add an exception throw if waiting on transport port file fails (elastic#37574) Improve testcluster distribution artifact handling (elastic#38933) Advance max_seq_no before add operation to Lucene (elastic#38879) Reduce global checkpoint sync interval in disruption tests (elastic#38931) [test] disable packaging tests for suse boxes Relax testStressMaybeFlushOrRollTranslogGeneration (elastic#38918) [DOCS] Edits warning in put watch API (elastic#38582) Fix serialization bug in ShardFollowTask after cutting this class over to extend from ImmutableFollowParameters. [DOCS] Updates methods for upgrading machine learning (elastic#38876)
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Related to #37942 (comment)
This PR clarifies the options for stopping machine learning (or not) during an upgrade.