ML4HC_Interpretability_and_Explainatility

Part 1

The p1/1_data_exploration.ipynb file contains all the necessary code for this section.
It uses the raw data (train_val_split.csv and test_split.csv) in the p1/data folder and also saves processed data into the same folder (train_val.parquet and test.parquet).
The file contains code for visualizing the feature distributions and processing the data.

The code for the section is in the p1/2_lasso_regression.ipynb file.
It contains all the necessary functions but uses the previously processed data in the p1/data folder (train_val.parquet, test.parquet).

note: The part of the code that saves the model and the results on the test set is commented out.

The p1/3_multi-layer-perceptrons.ipynb file contains all the necessary functions and classes for this part.
It also uses the processed data files in the p1/data folder (train_val.parquet, test.parquet).

note: The part of the code that saves the model and the results on the test set is commented out.

The same way as previously, the p1/4_neural_additive_models.ipynb file contains all the necessary functions and classes for this part.
It also uses the processed data files in the p1/data folder (train_val.parquet, test.parquet).

note: The part of the code that saves the model and the results on the test set is, again, commented out.

Name		Name	Last commit message	Last commit date
output		output
p1		p1
.DS_Store		.DS_Store
.gitignore		.gitignore
.python-version		.python-version
Pneumonia_predictor.py		Pneumonia_predictor.py
Project 2 - Explainability and Interpretability - Handout.pdf		Project 2 - Explainability and Interpretability - Handout.pdf
Project 2 - Interpretability.pdf		Project 2 - Interpretability.pdf
Q2_1_Exploratory_data_analysis.ipynb		Q2_1_Exploratory_data_analysis.ipynb
Q2_2_Train_CNN.ipynb		Q2_2_Train_CNN.ipynb
Q2_3_integrated_gradients.ipynb		Q2_3_integrated_gradients.ipynb
Q2_4_gradcam 2.ipynb		Q2_4_gradcam 2.ipynb
Q2_4_gradcam.ipynb		Q2_4_gradcam.ipynb
Q2_5_data_randomization_test.ipynb		Q2_5_data_randomization_test.ipynb
README.md		README.md
Trainer.py		Trainer.py
config.yaml		config.yaml
download_dataset.py		download_dataset.py
helper_funcs.py		helper_funcs.py
main.py		main.py
pyproject.toml		pyproject.toml
report_results 2.ipynb		report_results 2.ipynb
report_results.ipynb		report_results.ipynb
resized_img.pdf		resized_img.pdf
test.pdf		test.pdf
uv.lock		uv.lock