yalequan/interdifnet: InterDIFNet Initial Release V1.0.0

Initial release of InterDIFNet: code accompanying the publication "Using multi-label classification neural networks to detect intersectional DIF" This release contains the implementation used to produce results in the paper. Paper Citation: @article{interdifnet, title= {Using multi-label classification neural networks to detect intersectional DIF}, author= {Yale Quan and Chun Wang}, journal={British Journal of Mathematical and Statistical Psychology}, year= {In Press} } Contents: Contains the InterDIFNet functions and code to reproduce the datasets and simulation study used in the manuscript. Requirements: Please see InterDIFNet Package Dependencies.md file for detailed explanations The following packages are automatically managed: | Package | PyPI Name | Import Name | |---------|-----------|-------------| | NumPy | numpy | numpy | | Pandas | pandas | pandas | | TensorFlow | tensorflow | tensorflow | | Scikit-learn | scikit-learn | sklearn | | Matplotlib | matplotlib | matplotlib | | Seaborn | seaborn | seaborn | | Scikit-multilearn | scikit-multilearn | skmultilearn | | NetworkX | networkx | networkx |