User guide# Installing and Test Run Installation Installing for Contributing Test run Update BOA Bayesian Optimization Overview Basics of Bayesian Optimization Fundamental concepts BO Algorithm Outline Constraints Multi-objective optimization High Dimensionality Additional Resources References Package Overview Creating a configuration File Creating a model wrapper (Language Agnostic or Python API) Choosing a Custom Kernel and Acquisition Function Creating a Python launch script (Usually Not Needed) Starting From Command Line Plotting Utility Functions Customizing Your Gaussian Process and Acquisition Function General Control Options Utilizing Ax’s Predefined Kernels and Acquisition Functions References Creating model wrappers Language Agnostic Interface Python Interface