c8374dc9f3
This adds a max_model_memory setting to forecast requests. This setting can take a string value that is formatted according to byte sizes (i.e. "50mb", "150mb"). The default value is `20mb`. There is a HARD limit at `500mb` which will throw an error if used. If the limit is larger than 40% the anomaly job's configured model limit, the forecast limit is reduced to be strictly lower than that value. This reduction is logged and audited. related native change: https://github.com/elastic/ml-cpp/pull/1238 closes: https://github.com/elastic/elasticsearch/issues/56420 |
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| anomaly-detection | ||
| df-analytics/apis | ||
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| ml-shared.asciidoc | ||