Bad news, there isn't a nice interface to get the table from the Optimizer object (I will make sure we add it, no reason not to).
But you can very easily get all the information you need and more:
all_the_tasks = an_optimizer.get_top_experiments(top_k=100)Then for every task in the list you can get All the information:
for task in all_the_tasks: task_params_as_dict = task.get_parameters() task_scalars = task.get_last_scalar_metrics()Basically the Task object enables you to query any Task in the system, we just get the list of Task from the optimizer (sorted by the optimization objective, then we can do whatever we need with it)