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Trend Detection is fully accessible through the API. The full reference documentation can be found in Trend Detection APIDetections.
The Python SDK also contains methods for every Trend Detection API endpoint. See SquirroClient Entities for details.
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This optional configuration allows analysis on any numerical facet in a project. For an example on how to use this, follow the tutorial scenario 2.
Aggregation Interval
This determines the time buckets into which the data is fitted. A anomaly is detected, as soon as a time bucket's value is bigger than the predicted trend for this bucket. The bigger the time bucket, the less impact one individual data point has.
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