Geometric data analysis (COMS 4995) final project
Team members: Philippe Chlenski and Arvind Raghavan
Repository Contents:
-
utils
- embed.py: functions for dimensionality reduction
- independence.py: code for checking independence structure across features
- scm.py: data-generating code for SCM-Dependent, SCM-Independent, SCM-Confounded
- scm_large.py: data-generating code for SCM-Large
-
experiments
- Generating_ROC_curves: notebook for experiments in section 3.3.2
- Observing_statistic_distribution_for_embeddings: notebook for experiments in section 3.3.3
- IRM_experiment: notebook for experiments in section 4.3
- PCA_and_independence: notebook for experiments in section 4.1, 4.2
- Prediction_tests: notebook for experiments in section 3.4