All code is in Python. Requires use of the Torch, numpy and scikitlearn libraries.

File Structure

• functions: The functions folder contains all of the functions required to implement our procedures.

• plots: Contains all the summary plots from the paper.

• results: Contains the results from the simulated experiments in subfolder simulated_results and real world experiments in subfolder real_world_results.

• real_world_data: The real world data used in our experiments.

• simulation_and_plot_code: Contains code and notebooks to run all our simulated and real world experiments as well as plot the results.

Detail on files in functions

We now briefly describe these files:

• objective_funcs_torch.py contains the objective function that is minimised in KLIEP and M-KLIEP and any other necessary function.

• gradient_descent_torch.py contains a gradient descent algorithm to optimise the objective functions

• estimators_torch.py contains function which wrap the gradient descent with the objective to perform KLIEP, M-KLIEP, etc.

• data_sim_framework_torch.py contains a function to repeat multiple iterations of simulated experiments from generating data to performing DRE technique.

• np_classifier_torch.py all the functions that perform np classification given a score function.

• pipeline_funcs.py functions perform the full procedure for our real world experiments.

Detail on files in simulation_and_plot_code

• datagen_kliep_foraistat.py Contains code to run all simulated experiments and save results to results/real_world_results.

• plot_kliep_comparison_foraistat.ipynb Contains code to plot results from simulated experiments and saves them to plots.

• CTG_dre.ipynb Performs real-world experiments and plots results for the CTG data found in real_world_data/CTG.xls.

• Smoke_detection.ipynb Performs real-world experiments and plots results for the Fire data found in real_world_data/smoke_detection_iot.csv.

• WeatherAus.ipynb Performs real-world experiments and plots results for the Weather data found in real_world_data/weatherAUS.csv.