Surrogate modelling technique selectors
Note that this repository will soon be depriciated and replaced. The new repo will be linked here soon.
Python Requirements:
- numpy
- pandas
- sklearn
- seaborn
- scipy
- optproblems
- pyDOE
R Requirements:
- FLACCO
To generate data, use generateData.py, generatedtlz.py, generatezdt.py and engineeringproblems.py.
To create surrogate models from the generated data, use createsurrogatemodels.py and engineeringmodels.py.
To generate features from the data, use features.R.
To train classifiers on the benchbark datasets, use basicclassification.py
To generate plots, use boxplot.py and plot_engineering.py