[ML] Adds optimizations for Logs UI anomaly detection jobs #102191
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peteharverson
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release_note:enhancement
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:ml
Feature:Anomaly Detection
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Pinging @elastic/ml-ui (:ml) |
weltenwort
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Jun 15, 2021
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This seems to work fine, thanks for helping us out! 👍
Could you please increment the custom_settings.job_revision in the log_entry_categories_count.json file, in which you updated the job config? That way the user will be notified of the changed job behabiour in the UI.
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@elasticmachine merge upstream |
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@elasticmachine merge upstream |
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…02191) * [ML] Adds optimizations for Logs UI anomaly detection jobs * [ML] Increment version for log-entry-categories-count job Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
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…102318) * [ML] Adds optimizations for Logs UI anomaly detection jobs * [ML] Increment version for log-entry-categories-count job Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com> Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
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Jun 18, 2021
…02191) * [ML] Adds optimizations for Logs UI anomaly detection jobs * [ML] Increment version for log-entry-categories-count job Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
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Summary
Adds two optimizations for the Logs UI anomaly detection jobs:
stop_on_warn: truefor the Log entries categories jobThe parameter
stop_on_warnwill automatically stop partitions from being analysed, if ML identifies that they are not suited for categorization.Since both jobs are configured with model plot enabled, it is expected that their results index can be large, so it is best practice to use a dedicated results index.
Fixes #100936