Code
This page contains links to code for some recent projects from the Yu group (see specific papers for other code repositories). Going, forward code will be added to the Yu-group github.- Applied projects
- Extensive and accessible COVID-19 data + forecasting at the county-level + hospital-level.
- Modeling
- iRF: an implementation of iterative Random Forests in python based on scikit-learn
- R package for ESCV selection of regularization for Lasso for sparser and more interpretable models. (paper)
- PCS: reproducible workflow on Zenodo
- staNMF: stability driven non-negative matrix factorization
- Causal inference: X-learner
- Interpretation / Visualization
- Interpreting neural networks: ACD: hierarchical interpretations, TRIM: interpreting transformations, CDEP: penalizing explanations
- Visualization: Superheat: An r package for generating beautiful and customizable heatmaps
- Theory
- Theory work: MDI OOB: Debiased RF feature importance, MDL-Complexity