OpenSearch/docs/en/ml/functions/sum.asciidoc

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[[ml-sum-functions]]
=== Sum Functions
The {xpackml} features include the following sum functions:
* `sum`, `high_sum`, `low_sum`
* `non_null_sum`, `high_non_null_sum`, `low_non_null_sum`
The sum functions detect anomalies when the sum of a field in a bucket is anomalous.
Use high-sided functions if you want to monitor unusually high totals.
Use low-sided functions if want to look at drops in totals.
Use `non_null_sum` functions if your data is sparse. Buckets without values will
be ignored; buckets with a zero value will be analyzed.
NOTE: Input data can contain pre-calculated fields that give the total count of some value. For
example, transactions per minute.
////
TBD: Incorporate from prelert docs?:
Ensure you are familiar with our advice on Summarization of Input Data, as this is likely to provide
a more appropriate method to using the sum function.
////