iation=item, num_items=4, num_users=None, num_params=1, 3 trainable parameters in total, device=cpu).
    (itemsession_ivt): Coefficient(variation=item-full, num_items=4, num_users=None, num_params=1, 4 trainable parameters in total, device=cpu).
    (intercept): Coefficient(variation=item, num_items=4, num_users=None, num_params=1, 3 trainable parameters in total, device=cpu).
  )
)
Conditional logistic discrete choice model, expects input features:

X[itemsession_cost] with 1 parameters, with constant lev