David Roberts 49e492f313 [ML] Adding assignment_memory_basis to model_size_stats (#65561) ... At present the Java code makes a decision on whether to use current model memory or model memory limit to calculate how much memory a job requires to be assigned. The plan is to move this decision to the C++ code, which will report it via a new field in the model size stats. An additional change will be that once we have made the switch from using model memory limit to using current model memory we will never switch back, as this causes large fluctuations up and down in memory requirement which will be much more noticeable when autoscaling is in use. Although the only two options at present are model memory limit and current model memory, the new enum includes a third possibility, peak model memory. To switch to this now would be tricky, as there have been two bugs in the implementation of peak model memory which render its value unreliable in 7.x. However, in 8.x it might make sense to switch to using peak model memory instead of current model memory and it's much easier from a BWC perspective if the enum contains all the values from the start. Relates #63163		2020-12-03 17:18:08 +00:00
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anomaly-detection	[ML] Adding assignment_memory_basis to model_size_stats (#65561)	2020-12-03 17:18:08 +00:00
df-analytics/apis	[DOCS] Add custom feature processor example (#64681)	2020-11-06 09:24:01 -08:00
images	[DOCS] Makes the screenshot larger on the custom URLs page. (#65269)	2020-11-20 09:29:39 +01:00
ml-shared.asciidoc	[ML] Adding assignment_memory_basis to model_size_stats (#65561)	2020-12-03 17:18:08 +00:00