# Anomaly Detection Using Advanced Configuration

**URL:** <https://discuss.elastic.co/t/anomaly-detection-using-advanced-configuration/321637>\
**Category:** Elasticsearch\
**Tags:** elastic-stack-machine-learning\
**Created:** [December 20, 2022, 11:55am UTC](https://discuss.elastic.co/t/anomaly-detection-using-advanced-configuration/321637 "2022-12-20T11:55:55Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![Aniket\_Pant](https://avatars.discourse-cdn.com/v4/letter/a/77aa72/32.png) [@Aniket\_Pant](https://discuss.elastic.co/u/Aniket_Pant)\
**Post date:** [December 20, 2022, 11:55am UTC](https://discuss.elastic.co/t/anomaly-detection-using-advanced-configuration/321637/1 "2022-12-20T11:55:56Z")

</div>

Hi team,

I am using ELK platinum version. Few days back i created a ML job which detect max value for a particular string field value

 ![image](https://us1.discourse-cdn.com/elastic/original/3X/a/a/aa6c5c96fa116166577b87d335e7488a1f451e1c.png)

 ![image](https://us1.discourse-cdn.com/elastic/original/3X/d/f/dfdbd8946a1eb01e8e7387f79f5613ea64cd7e9a.png)

Here i can see cross symbol and dot cross symbol denote multi bucket i don't what it is depicting in ML graph. What is multi-bucket impact ? please explain me i want to know i read many blogs and docs and forum

second is there are some annotations on the graph which represent trends or snapshot restored  
Third is am i doing this right ? i have two fields numerical field and string field i have to apply max function ? i don't is it right or wrong please share your views

Job config

```auto
"analysis_config": {
    "bucket_span": "15m",
    "detectors": [
      {
        "detector_description": "max(test) by \"verb.keyword\"",
        "function": "max",
        "field_name": "test",
        "by_field_name": "verb.keyword",
        "detector_index": 0
      }
    ],
    "influencers": [
      "verb.keyword"
    ]
  },

```

@richcollier can you please help me out.

---

<div class="post-metadata">

**Author:** ![richcollier](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/richcollier/32/115035_2.png) [@richcollier](https://discuss.elastic.co/u/richcollier)\
**Post date:** [December 21, 2022, 6:15pm UTC](https://discuss.elastic.co/t/anomaly-detection-using-advanced-configuration/321637/2 "2022-12-21T18:15:09Z")

</div>

Blog to help understand what multi-bucket anomalies are: [Interpreting multi-bucket impact anomalies using Elastic machine learning features | Elastic Blog](https://www.elastic.co/blog/interpreting-multi-bucket-impact-anomalies-using-elastic-machine-learning-features)

To answer your question "am I doing this right?" I would need to know what your data looks like (example document) and what the use case is (i.e. explain in a sentence what you're trying to detect).

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [January 18, 2023, 6:15pm UTC](https://discuss.elastic.co/t/anomaly-detection-using-advanced-configuration/321637/3 "2023-01-18T18:15:13Z")

</div>

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.