Adds anomaly detection FAQ items to the Troubleshooting page #2714
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szabosteve
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valeriy42
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| As model predictions, 95% confidence intervals, and actual values in | ||
| documents in an index (if you enabled model plot) are available, you can use | ||
| standard measures to assess prediction accuracy, interval calibration and so on. | ||
| Aggregations can be used to compute these statistics. This might be useful if | ||
| you would like to monitor data drifts; however, there are ways to automatically | ||
| adapt to changing data characteristics. | ||
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| The purpose of {anomaly-detect} is to achieve the best ranking of periods where | ||
| an anomaly happened. A useful way to evaluate this is to keep track of real | ||
| incidents and see how well they correlate with the predictions of | ||
| {anomaly-detect}. In practice, it is usually unambiguous qualitatively whether | ||
| {anomaly-detect} is working well. |
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I think, something is missing here. Let's catch up over zoom and see how to clarify this part.
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valeriy42
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Jun 17, 2024
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LGTM. Great work, @szabosteve, on translating my technobabble. This FAQ will be of great value to the customers. 🚀
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* Adds anomaly detection FAQ. * Adds more FAQ items. * Adds items to the AD FAQ page. * Further edits. * Fixes bulleted lists. * [DOCS] Rephrase intro. * Adjusts structure. * [DOCS] Addresses feedback. (cherry picked from commit 3e1d41c)
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* Adds anomaly detection FAQ. * Adds more FAQ items. * Adds items to the AD FAQ page. * Further edits. * Fixes bulleted lists. * [DOCS] Rephrase intro. * Adjusts structure. * [DOCS] Addresses feedback. (cherry picked from commit 3e1d41c)
This was referenced Jun 17, 2024
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Overview
This PR adds FAQ items to the Troubleshooting page.
Preview
Troubleshooting and FAQ