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[ML] Enables display of contextual data for population charts using other metrics than count.#24083

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walterra merged 5 commits intoelastic:masterfrom
walterra:ml-explorer-rare-chart-2
Oct 17, 2018
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[ML] Enables display of contextual data for population charts using other metrics than count.#24083
walterra merged 5 commits intoelastic:masterfrom
walterra:ml-explorer-rare-chart-2

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@walterra
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@walterra walterra commented Oct 16, 2018

Summary

  • Enables support for showing contextual sampled data in population charts which use detector functions other than just count.
  • Use arrow functions where applicable in Anomaly Explorer Charts code.

Examples:

Distinct Count

image

High Sum

image


Checklist

Use strikethroughs to remove checklist items you don't feel are applicable to this PR.

For maintainers


Part of #21163.

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Pinging @elastic/ml-ui

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@peteharverson peteharverson left a comment

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LGTM

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@jgowdyelastic jgowdyelastic left a comment

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LGTM

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💔 Build Failed

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retest

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@alvarezmelissa87 alvarezmelissa87 left a comment

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LGTM ⚡️

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retest

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walterra added a commit to walterra/kibana that referenced this pull request Oct 19, 2018
…ther metrics than count. (elastic#24083)

- Enables support for showing contextual sampled data in population charts which use detector functions other than just count.
- Use arrow functions where applicable in Anomaly Explorer Charts code.
walterra added a commit that referenced this pull request Oct 22, 2018
…ther metrics than count. (#24083) (#24148)

- Enables support for showing contextual sampled data in population charts which use detector functions other than just count.
- Use arrow functions where applicable in Anomaly Explorer Charts code.
@lcawl lcawl added the enhancement New value added to drive a business result label Oct 29, 2018
@sophiec20 sophiec20 added the Feature:Anomaly Detection ML anomaly detection label Jun 19, 2019
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enhancement New value added to drive a business result Feature:Anomaly Detection ML anomaly detection Feature:ml-results legacy - do not use :ml v6.5.0 v7.0.0

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7 participants