Related Issues (20)
- if a already existing column name is added, np.nan is still added to rows
- Optimization requires your domain to have names x0, x1, x2, etc.
- Selecting experiments from ExperimentData copies columns incorrectly
- Missing information about benchmark functions
- this method relies on the backend being a pandas dataframe HOT 1
- Parallel data generation: Unexpected behavior of Numpy random generator seed
- Implement a new `x0_selection` strategy that samples new samples for the initial populatioin
- Add functionality to select all jobs that are finished
- Improving usability by implementing helper function to convert arbitrary functions to DataGenerators
- Documentation is both hosted by GitHub Pages and ReadTheDocs
- Add `ExperimentData.from_file` with `hydra` to documentation
- Bug: sampling with constant variable with float
- Implement method to overwrite current decision vector instead of storing all of the history for optimization
- Implement callback functionality to optimization HOT 1
- Evaluating experimental data with a function whose signature does not strictly match the input variables will raise an error HOT 2
- Sampling an int with a large bound value raises a MemoryError HOT 2
- Parallel data generation: controlling the number of parallel processes HOT 2
- pd.EmptyData error in concurrent access `from_file` and `store` method
- Sphinx Gallery problem with TOC headers HOT 2
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