Hi the SVM tutorials provided do not even remotely discuss my inquiry that's why I'm clarifying if there is a way to make this work with the current capabilities of SVM in JMP.
The intended use is the special case of unary/one-class SVM classification or outlier/novelty detection for unsupervised multivariate continuous data <https://en.wikipedia.org/wiki/One-class_classification> but the linked material deals with multiclass problems (supervised) with a predictor as a required parameter.
![x1.jpg x1.jpg](https://community.jmp.com/t5/image/serverpage/image-id/38657iC290B2333D48630C/image-size/large?v=v2&px=999)
![1-s2.0-S0031320316300267-gr2 1-s2.0-S0031320316300267-gr2](https://community.jmp.com/t5/image/serverpage/image-id/38655iF9FB38180152DE7A/image-size/large?v=v2&px=999)
Here is the SAS implementation for reference:
https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.2/casml/viyaml_svdd_overview.htm
The expected output could be a similar to outlier screening or a multivariate control chart.