Related Issues (20)
- np.int no longer works with numpy >= 1.24 HOT 2
- InvalidParameterError HOT 3
- mse needs updating (to friedman_mse?) HOT 1
- Question: Are plot_convergence and plot_objective supposed to look like identical plots?
- gp_minimize callback arguments / return value
- Bug Latin Hypercube sampling
- space.Integer and space.Float not allowed to be constant
- `np.int` was a deprecated alias for the builtin `int`. HOT 17
- Repeated error Using Forest_optimize HOT 1
- Something about earlystopping HOT 1
- Optimization space and initial points in x0 use inconsistent dimensions.
- How to introduce customized stop criteria HOT 1
- Inclusion of PRIMA solvers in Skit-Optimize HOT 5
- LOO in BayesSearchCV
- Error in strategy-comparison.ipynb
- AttributeError: 'Sum' object has no attribute 'gradient_x' when using sci-kit learn RBF for sci-kit optimize gp_minimize HOT 3
- Question: How to initialize a model in 4D search space, but run trials in only 2D for the first 100 trials through ask-tell interface. Then expand to 4D.
- Reproducibility when using BayesSearchCV with MLPRegressor
- using BayesSearchCV AttributeError module 'numpy' has no attribute 'int'. np.int was a deprecated alias for the builtin int. To avoid this error in existing code, use int by itself. Doing this will not modify any behavior and is safe. When replacing np.int, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information. HOT 4
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