doce
doce is a python package for handling numerical experiments using a design-of-experiment (DOE) approach. It is geared towards research in machine learning and data science but also be useful for other fields.
For a quick introduction to using doce, please refer to the Tutorial.
What for ?
Experimentation and testing are a fundamental part of scientific research. They’re also extremely time-consuming, tedious, and error-prone unless properly managed. doce is here to help you with the management, running and reporting of your experiments, letting you focus more on the creative part of your research work.
What can doce can help you to do?
Set up an experimental protocol once, and re-run it as often as needed with minimum hassle using new data, modified code, or alternative hypotheses.
Systematically explore many combinations of operational parameters in a system.
Re-use earlier results to only compute the later stages of a process, thus cutting down the running time.
Automatically produce analysis tables.
Ease the production of paper-ready displays.
Keep experimental code, data and results organized in a standardized way, to ease cooperation with others and allow you to go back painlessly on months-old or years-old work.
Getting started