This directory contains the following notebooks and folders:
- Results Regression (notebook): generates the results for experiments involving regression trees;
- Results Classification (notebook): generates the results for experiments involving classification trees;
- Outputs (notebook): generates table and plot from data generated in (1) and (2);
- Toy Model (notebook): generates plot for toy model;
- outputs (folder): folder containing the data generated in (1) and (2) - empty;
- plots(folder): folder containing all the generated plots;
- Programs (folder): folder containing other code used
- functions.py: some basic functions;
- dataset_functions.py: functions that loads datasets and creats covariate shift;
- w_models.py: models to estimate density ratio;
- sklearn_models.py: some classes containing sklearn models for our use;
- select_vars_gmm.py: GMM for feature selection;