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ThankfulOwl72
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1 Question, 6 Answers
  Active since 10 January 2023
  Last activity one year ago

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Hi. One question regarding instantiation of tasks. The docu states that providing reuse_last_task_id=False in Task.init will always lead to creation of a new...
4 years ago
0 Hi. One Question Regarding Instantiation Of Tasks. The Docu States That Providing

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

4 years ago
0 Hi. One Question Regarding Instantiation Of Tasks. The Docu States That Providing

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)

4 years ago
4 years ago
0 Hi. One Question Regarding Instantiation Of Tasks. The Docu States That Providing

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.

4 years ago
0 Hi. One Question Regarding Instantiation Of Tasks. The Docu States That Providing

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``.

4 years ago
0 Hi. One Question Regarding Instantiation Of Tasks. The Docu States That Providing

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

4 years ago