Related Issues (20)
- ongoing maintenance HOT 11
- the return values of GP.predict() in utility_function.utility are nearly the same, with one constraint and 5 parameters optimization problem. HOT 10
- Can we have a feature of ignoring the NaN y values come across for certain hyperparameter configurations HOT 7
- Constrained optimization HOT 4
- Can I use it for timeseries optimization, like I want to come out a control trajectory(96 steps), so the input will be 96 high dimension....So two questions: 1) is it suitable for 96 dimension optimization and 2) how to pass a np.array to the function, do I have to define in X1, X2,...X96? I really appreciate for any kind help! HOT 3
- Question about whether a set of dictionary parameters can be used as independent variables in visualization. HOT 5
- Error occurs when trying to do a domain reduction HOT 6
- html docs: please review and suggest! HOT 5
- add github workflow to link github releases to pypi uploads
- settle on a docstring format and update all docstrings HOT 5
- Constrained Target Space occasionally outputs the wrong parameters for a maximum HOT 1
- Give user access to in acq_max function HOT 3
- `FloatingPointError: underflow encountered in exp` in `optimizer.maximize()` HOT 4
- Save optimizer state and load again in the Suggest-Evaluate-Register Paradigm HOT 1
- Replace custom colour implementation with colorama colours HOT 1
- Constrained optimization does not allow duplicate points HOT 3
- JSONLogger bug in Basic Tour example HOT 2
- Implement `gp_hedge` acquisition function HOT 10
- support multiple parameters HOT 2
- Values outside pbounds HOT 7
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