AFAIK, clustering is in unsupervised learning category, and also AFAIK MLJar is supervised. Is it correct to say that it is NOT supposed nor possible to use MLJar for making a clustering model? If I`m wrong, can you please show me a sample code about clustering using MLJar?
Edit:
I have found https://mljar.com/automated-machine-learning/k-means-features/, but I think it is usable only for preprocessing phase.
You are right. K-means features are only used in preprocessing to add new features. In some datasets it helps to get better results.
MLJAR AutoML right now supports only supervised methods. I would love to extend it to unsupervised learning in the future.