def test_optim_preproc(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'examples', 'demo_optim_data_preproc.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_demo_adversarial_debiasing(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'examples', 'demo_adversarial_debiasing.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_calibrated_eqodds_postprocessing(): nb, errors = notebook_run(os.path.join( os.path.dirname(os.path.abspath(__file__)), '..', 'examples', 'demo_calibrated_eqodds_postprocessing.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_gerryfair_classifier(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'examples', 'demo_short_gerryfair_test.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_demo_grid_search_regression(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..', 'examples', 'sklearn', 'demo_grid_search_reduction_regression_sklearn.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_demo_exp_grad_red(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'examples', 'demo_exponentiated_gradient_reduction.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")
def test_demo_mdss_classifier_metric_sklearn(): nb, errors = notebook_run( os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..', 'examples', 'sklearn', 'demo_mdss_classifier_metric_sklearn.ipynb')) if len(errors) > 0: for err in errors: for tbi in err['traceback']: print(tbi) raise AssertionError("errors in notebook testcases")