[ML] Adjusting soft_limit description (#65383)
This PR adds detail to the explanation of the soft_limit memory_status in ML job stats. A consequence that was not mentioned before is that examples are not added to category definitions. Relates elastic/ml-cpp#1590
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@ -1024,7 +1024,8 @@ values:
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* `ok`: The models stayed below the configured value.
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* `ok`: The models stayed below the configured value.
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* `soft_limit`: The models used more than 60% of the configured memory limit
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* `soft_limit`: The models used more than 60% of the configured memory limit
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and older unused models will be pruned to free up space.
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and older unused models will be pruned to free up space. Additionally, in
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categorization jobs no further category examples will be stored.
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* `hard_limit`: The models used more space than the configured memory limit.
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* `hard_limit`: The models used more space than the configured memory limit.
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As a result, not all incoming data was processed.
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As a result, not all incoming data was processed.
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