API Documentation#

obsidian: Automated experiment design and black-box optimization

Modules

`obsidian.parameters`	Parameters: Define the classification of input features
`obsidian.campaign`	Campaign: Track and manage optimizations
`obsidian.optimizer`	Optimizer: Suggest new experiments based on surrogate model and acquisition functions
`obsidian.surrogates`	Surrogates: Regress a model to data to establish a system approximation
`obsidian.experiment`	Experiment: Design and simulate experiments

`obsidian.acquisition`	Acquisition: Functions to determine the value of sequential experiments
`obsidian.objectives`	Objectives: Define optimization values based on features and responses
`obsidian.plotting`	Plotting: Visualize optimization results, predictions, and model interpretation
`obsidian.constraints`	Constraints: Restrict the recommended space during optimization
`obsidian.exceptions`	Custom obsidian exceptions for improved error handling

Indices#