I’m currently training a object detection model and wanted to use sweeps to do some hyperparameter optimization. A few of the hyperparameters are in the form of lists. E.g: data_preprocessors: [“random-flip”, “random-crop”, “random-expand”, etc.]
I would like sweep to take a subset from these values and pass them to my training script. However I could not find how to do this easily without a lot of custom wrapping code.
My current solution would be to have each value as a boolean and add some custom logic to convert that to the list I want, however this is not easily expandable/reusable. Is there something I am missing?
You seem to have a good idea for this. Assuming you set up your sweep with these parameters like this:
A sample config would look as follows:
"random_flip" : True,
"random_crop" : False,
"random_expand" : True
You should be use these boolean values as
wandb.config['random_crop'] in order to get your desired output.
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Hi @dikvangenuchten, since we have not heard back from you we are going to close this request. If you would like to re-open the conversation, please let us know!
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