Can this be used for un-labeled models as well? And how many?

[dberardo-com]

Is it possible to use chantilly for unsupervised learning models (anomalies) and timeseries forecast models, thus without necessarily haivng labeled data? which metrics would be meaningful in this case then?

I ask this because i dont see this kind of "flavors" within the chantilly list.

And also a side question:

can the chantilly backend store more then one model? is it possible to disable metrics computation for models so that the backend does not overload? i have applications in mind with dozens of models at the same time. Is Chantilly suitable in that case?

Great stuff