Comments (2)
Well, doing multiple evaluations could be a solution. But this would depend on the optimizee/optimizer e.g. we would need only one evaluation for deterministic functions. So this should be entirely transparent to the LTL framework anyway and not be part of the interface contract.
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Closing. Feel free to reopen if more discussion is warranted.
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Related Issues (20)
- Optimizers should not have default parameters
- stop_criterion requires knowledge of optima HOT 4
- Cross entropy noise addition should be to the parameters and not to the samples HOT 2
- Fitness reported by recorder should be actual fitness
- Run all optimizers on mixture of gaussians
- Use t-SNE for visualising high dimensional space
- Rosenbrock Function incorrectly implemented HOT 1
- Pypet Inefficiencies HOT 1
- Conflicting ZMQ addresses of Gradient Descent Optimizer and LTL-SPORE optimizee HOT 1
- SCOOP Leaking Memory Too
- SCOOP Bugs and things
- Linear smoothing makes no sense for gaussian mixture
- Optimizer with positive weight trying to minimize instead of maximizing HOT 1
- Add documentation regarding storing of the generation-wise parameters
- Fix the CircleCI testing of the python2 version HOT 1
- Create Zenodo link after final release
- missing working directories
- GS and CE optimizers give 'ParameterDict' object is not callable error
- add pep8 speaks to repository HOT 1
- Index confusion HOT 2
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