У меня есть модель ML в django, и на основе идентификатора сессии я хочу сохранить эту модель уникальной для каждой сессии.
- Here my ML model is trained iteratively like data is provided per each iteration using a post request and ML model is trained.
- If two users train a ML model with different datasets simultaneously how to cache the ML model so that model for different users is of there own model and they are training the model with which they first started.
- Here I am not able to bifurcate the models between different users.