design_method_recommendation_JMD_2014

Experiment code for our 2014 Journal of Mechanical Design paper - "Machine Learning Algorithms for Recommending Design Methods"

To replicate paper experiments, run the following from any python (2.7) prompt: python paper_experiments.py

You will also need to download the HCD Connect Case Study data, located here:

Place this inside a 'data' folder, or alter the 'data_path' variable in the paper_experiments.py file

The code is licensed under the Apache v2 license. Feel free to use all or portions for your research or related projects so long as you provide the following citation information:

Mark Fuge, Bud Peters, and Alice Agogino Machine Learning Algorithms for Recommending Design Methods Journal of Mechanical Design, 136 (10) (August, 2014)

@article{fugeHCD2014JMD,
    author = {Fuge, Mark and Peters, Bud and Agogino, Alice},
    day = {18},
    doi = {10.1115/1.4028102},
    issn = {1050-0472},
    journal = {Journal of Mechanical Design},
    month = aug,
    number = {10},
    pages = {101103+},
    title = {Machine Learning Algorithms for Recommending Design Methods},
    url = {http://dx.doi.org/10.1115/1.4028102},
    volume = {136},
    year = {2014}
}