Comments (5)
This is a good idea to add the interesting 'early_stopping' feature. Welcome to contribute this feature. Thanks very much for your kindly support again.
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This is a good idea to add the interesting 'early_stopping' feature. Welcome to contribute this feature. Thanks very much for your kindly support again.
How should I test it? It seems you have a lot of "personal" tests for algorithms, but no one general tests.
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You can write a simple test case. We (at least two core developers of this libary) will check and test it. After passing our test, we will add it in the new version (0.0.76).
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@FiksII We have upgraded your testing code as follows: https://github.com/Evolutionary-Intelligence/pypop/blob/main/pypop7/optimizers/core/_test_optimizer.py. In your initial version, only one test case is run, though for
is used.
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@FiksII We also upgraded your Python code for class optimizer
: https://github.com/Evolutionary-Intelligence/pypop/blob/main/pypop7/optimizers/core/optimizer.py. For two private members, we use _
as the prefix (a standard Python practice).
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Related Issues (8)
- n_parents issue HOT 1
- Possible bug after restart of RMES HOT 1
- Optimizers don't take into account lower and upper boundaries HOT 1
- Tips to improve the results HOT 12
- How to get candidate solutions from each iteration? HOT 3
- Add Arxiv article resource link to readme HOT 2
- No module named 'pypop7.optimizers.bo' HOT 2
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