Comments (2)
There is a method for sanity checking your optomization problem setup. The method is named validate and is available in test_problems.py. I agree that this should be checked automatically by the strategy and I'm working on adding some input checking to the strategies.
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The optimization problem is sanity checked automatically in 0.1.20
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Related Issues (20)
- Implement SO-MI
- MPI example gets stuck HOT 3
- PendingDeprecationWarning from use of NumPy matrices HOT 2
- how to surrogate model with multiple variable? HOT 5
- Multiple threads does not work HOT 10
- Evaluates the uncertainty of the surrogate model at points x HOT 3
- pySOT may propose the same point twice on pure integer problems HOT 1
- Add back option to restart algorithms when they converge early HOT 1
- mpiexample_simple.py fails after the increase of number of workers HOT 3
- Documentation has an error HOT 1
- `examples` and `tests` are being installed as top-level packages (directly in site-packages) HOT 5
- SurrogateUnitBox not longer required for RBF? HOT 1
- comparisons HOT 1
- MIssing parentheses
- Use of "extra" and "extra_vals"
- add_points() does not handle objective functions that output integers
- Comments in ei_merit() do not match the actual sizes of parameters passed to the function
- In gp.py, predict() returns incorrectly-sized array, causing IndexError exception in ei_merit().
- pySOT is slow to generate new points with large dataset HOT 1
- Stopping criteria based on objective and/or decision variable tolerance
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