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[DOCS] Add anomaly detection example for geographic data #1631
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Thanks for adding this example to the pool. Left a couple of suggestions to fix the section IDs.
The Anomaly detection examples page aggregates all the examples in a bulleted list. Could you please add this page to that list as well?
docs/en/stack/ml/anomaly-detection/geographic-anomalies.asciidoc
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Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
can see a map of the typical and actual coordinates. For example, the `jackson` | ||
user ID typically shops in Los Angeles so their purchase in New York is | ||
anomalous in the eCommerce sample data: | ||
//TBD: Is it working as designed that the map only appears after you click the swim lane? |
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Should this be removed?
Also, the answer is yes (for data with geo point data) - it works as a type of chart - like the ones that appear already above the anomaly table once you click a swimlane.
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Thanks! I've removed that comment.
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LGTM ⚡
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Related to elastic/kibana#88416 and elastic/kibana#88880
This PR adds an example of how to create anomaly detection jobs that use the lat_long function and how to view that type of data in the Data Visualizer and the Anomaly Explorer.
Preview
https://stack-docs_1631.docs-preview.app.elstc.co/guide/en/machine-learning/master/geographic-anomalies.html