Optimization framework for Daisy

A python based framework for optimizing parameters in Daisy.

Features

• Multiple optimization methods: a greedy sequential optimizer, CMA-ES, and Bayesian optimizers
• Optimization across multiple scenarios
• Single or multi-objective optimization
• Optimization of parameters in both Daisy (.dai) and Python (.py) files
• Support for categorical and continuous parameters (depending on optimizer)

Getting started

The framework is available on https://pypi.org/ and can be installed with pip

pip install daisypy-optim

By default this will only install the greedy sequential optimizer. For most problems you will want to use either CMA-ES or a Bayesian optimizer. The CMA-ES optimizer can be installed with

pip install daisypy-optim[cma]

and the Bayesian optimizers with

pip install daisypy-optim[ax]

Note that the Bayesian optimizers pulls in a lot of dependencies.

Examples

There are several examples illustrating how to optimize parameters in various situations. See doc/examples for an overview of the examples.