Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[ML] Enhancements to model memory limit calculator #54441

Closed
6 tasks done
peteharverson opened this issue Jan 10, 2020 · 2 comments
Closed
6 tasks done

[ML] Enhancements to model memory limit calculator #54441

peteharverson opened this issue Jan 10, 2020 · 2 comments
Assignees

Comments

@peteharverson
Copy link
Contributor

peteharverson commented Jan 10, 2020

Meta issue outlining the enhancements required for the anomaly detection job model memory limit calculator for 7.6:

  • Add in functional test coverage for the existing /api/ml/validate/calculate_model_memory_limit endpoint, using the ecommerce and farequote archives currently available for the ML functional tests.

    • Range of metric field names (0 - 5 ?)
    • Range of influencers (0 - 5 ?)
    • Use of a query which limits the number of partition / influencer field values used in the calculation.
  • Edit the multi metric job creator to ensure count detectors with a partition field get included in the calculation. These currently do not affect the calculations as only detectors which use a metric field name are included.

  • The MML estimate isn't re-calculated in the multi-metric wizard when influencers are added or removed. The endpoint should be called when the influencers are changed.

@elasticmachine
Copy link
Contributor

Pinging @elastic/ml-ui (:ml)

@darnautov
Copy link
Contributor

Closed by #54557 and #54573

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants