Comments (1)
I have fixed pypet but it appears that upstream is rather slow in response + I haven't run the entire test suite yet. I have however tested quite extensively with our existing code and it seems to work for our configuration. So The current solution will be to move the pypet version to my fixed version.
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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
- 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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