V2.3.0

The current version is the stable release, which will be maintained for the foreseeable future.

Welcome to download and update to Bgoalrn V2.3.0.

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New features include:

1: Regression models have been added to the original built-in Gaussian process model, including statistical analysis based on Bootstrap sampling regression analysis and multi-model inference. Controlled by the parameter Kriging_model.

2: Added data storage function, all forecast of training samples will be stored locally in a folder named Bgolearn.

3: Added recommended sample target value display function, supporting output of the predicted target value of recommended samples in V2.2.4.

4: Added parallel computation, multi-process computing can be performed by specifying the number of threads for the knowledge gradient function, speeding up the calculation efficiency. Controlled by the parameter Proc_num, such as Proc_num=4.

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Some Python code is not supported in the latest Python version, specifically Python 3.11. We have updated certain outdated sections of the code. Users of Python 3.8 and earlier versions can safely ignore this update ！

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V2.2.2

Update README.md