Welcome to MyPyOpt’s documentation!¶
This project is a very minimal optimization tool in Python. The basis for this work was my own development in an optimization course in grad school. The original implementation was in Fortran, but I converted it to Python, cleaned it up drastically, added tests and CI, docs, etc., and here it is.
The easiest way to see it in action is to check out the demos folder in the repository. It has demonstrations that use a simple Python function call as the simulation, and also one that pretends like it is calling EnergyPlus, both then calibrating given specific decision variables and an objective to minimize.
Contents:
- Decision Variable Class Documentation
- Exceptions Class Documentation
- IO Class Documentation
- Objective Evaluation Result Class Documentation
- Optimization Project Structure Class Documentation
- Optimizer Base Class Documentation
- Optimizer (Heuristic Search) Class Documentation
- Return State Enumeration Class Documentation
- Search Return Type Class Documentation