047873d950187d8fd1b8c457dfc1ccd8c6626dec,sksurv/metrics.py,,concordance_index_ipcw,#,173

Before Change

    if tau is not None:
        survival_test = survival_test[test_time < tau]

    _, _, estimate = _check_inputs(
        test_event, test_time, estimate)

    cens = CensoringDistributionEstimator()

After Change

    if tau is not None:
        survival_test = survival_test[test_time < tau]

    estimate = check_array(estimate, ensure_2d=False)
    check_consistent_length(test_event, test_time, estimate)

    cens = CensoringDistributionEstimator()
    cens.fit(survival_train)

Instances