/gda_project

Geometric data analysis (COMS 4995) final project

Primary LanguageJupyter Notebook

gda_project

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