Comments (3)
tobegit3hub
commented on September 1, 2024
Advisor is model-agnostic and you can get the recommended parameters and train easily. We have the examples of tensorflow mnist so that you can refer to them.
Now we have some early stopping algorithm but they require more data and not efficient.
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githubche
commented on September 1, 2024
I have seen the examples, they just output the final objective such as accuracy. I wonder how to output the training step information, and let advisor help to early stop the trial, avoiding over fitting.
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ed-word
commented on September 1, 2024
@githubche did you manage to find a solution?
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Related Issues (20)
- [ Bug? ] Syntax error in admin_command.py HOT 1
- [ Bug? ] JSONDecodeError is raised when running the examples HOT 4
- Keras example not working
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- examples/simple_function_example not working
- Show clear message when the same study name is existed on advisor server
- Counterintuitive Examples HOT 1
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- click Generate Suggestions button received html source code, do I need other libraries to render it? HOT 2
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- advisor_admin server start not work(python version) HOT 7
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- Walk through request HOT 2
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