# ML doesn't track "array" type data using by\_field\_name individually

**URL:** <https://discuss.elastic.co/t/ml-doesnt-track-array-type-data-using-by-field-name-individually/227967>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [April 14, 2020, 4:55pm UTC](https://discuss.elastic.co/t/ml-doesnt-track-array-type-data-using-by-field-name-individually/227967 "2020-04-14T16:55:28Z")\
**Posts on this page:** 1\
**Showing post:** 13

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**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:** [April 18, 2020, 1:34pm UTC](https://discuss.elastic.co/t/ml-doesnt-track-array-type-data-using-by-field-name-individually/227967/13 "2020-04-18T13:34:45Z")

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Both partition\_field\_name and by\_field\_name cause a "split" to the analysis (creates separate baseline statistical models). Either can be used (or both can be used to effectively create a "double-split").

Some nuances to their differences: [ML What is the difference between by\_field\_name and partition\_field\_name](https://discuss.elastic.co/t/ml-what-is-the-difference-between-by-field-name-and-partition-field-name/108720)

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