For example, users may want to set up some run-dependent variables at the beginning of training (Events.STARTED) and update the learning rate on each iteration (Events.ITERATION_COMPLETED). With Ignite the code will look like this: train_loader = … model = … optimizer ...
Therefore, when dealing with continuous variables, a discretization process will be required. Figure 1 shows a typical example of a BN for modeling the relationships between features of an instance of an optimization problem, which have an impact on the behavior of an algorithm and its final ...