How can I continue training a completed Tune experiment for longer and with new configurations

How severe does this issue affect your experience of using Ray?

  • High: It blocks me to complete my task.

I am trying to use a new experiment to continue train a completed Tune experiment with more iterations from Ray Tune FAQ — Ray 2.6.3. But this is an example of torch, Does have scikit-learning’s demo? In sklearn, what shoud we need to checkpoint(torch performs a checkpoint with state_dict).

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@zmin1217 What do you mean by training for more iterations for scikit learn? Which type of sklearn model are you trying to fit?

Thank you for your reply. I have found a solution to the problem(Tune Search Algorithms ( — Ray 2.9.0), i want to start a new experiment based on a historical search experience.