I guess I could use Task.create for that but it has the downside of "not being reproducible"

Independently of my use case: the docstring of Task.init states a new task will always be created if
- the ``reuse_last_task_id`` parameter is assigned ``False``.

I cannot reuse the running task in the grid search since it would overwrite the hyperparameters instead of creating a new experiment with the new hyperparameters

Thanks for the prompt answer! My use case is the following:

I am running a grid search (my own implementation, not the trains grid search) and would like the experiments to be grouped together. I wanted to achieve that by having the same project and putting each step of the grid search as experiment.

Thanks a lot, I'll have a look 🙂

My grid search is essentially just a loop. You can think of my use case as:
for results_params_dict in results: experiment = Task.init("grid_search", "my_experiment") experiment.connect(results_params_dict)