Comments (5)
I'd like to help with this. Is it ok if we add sklearn as a dependency to take advantage of their GridSearchCV and RandomizedSearchCV?
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Hi, sorry I haven't done any commits lately, currently on a trip. I am also thinking about that. But if we are to use scikit-learn's hyperparameter search tools, maybe we can just scrap this feature altogether? Unless we provide a more convenient API in using them then it is fine. What do you think?
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I compared scikit-learn's implementation of GridSearch and RandomizedSearch with Optunity's, and I think it should be straightforward to implement these here. I haven't found another PSO library that has this functionality, and I imagine people would be more apt to tune if it was built in. I can start with GridSearch and see how it goes?
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I see I see. Sure! Let's try GridSearch first and iterate from there.
Thanks a lot! @SioKCronin!
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Great. I should be able to get this going next week, and will reach out if I hit any snags.
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Related Issues (20)
- How to integrate it in Pytorch or Paddlepaddle training loop? HOT 1
- How to define a constrained bounds?
- Passing verbose and n_processes to hyperparameter tuning algorithms
- compute_Pbest - compute gbest weird behavior
- Problem with conditional functions in multi-dimension particles
- How to define a discrete design space when using pyswarms.discrete.binary module
- Final Best Position Logical Error
- init_pos does not seem to work as expected
- TypeError: f() got an unexpected keyword argument 'print_step'
- Tests fail with Matplotlib 3.7
- A toy problem example - need help to use PySwarms
- Release missmatch (Missing release on github)
- Having Issue in optimizer HOT 1
- mean_neighbor_cost value in history Tuple of optimizers
- parallel pyswarms not working
- TypeError: '<' not supported between instances of 'generator' and 'float' HOT 1
- Test failures
- Dependency on future
- Unexpected stagnation with VonNeumann and Pyramid topologies HOT 1
- Typo Error in Documentation: Incorrect Hyperlink for use case examples in Launching Pad Section
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