41e9b243d893eca09615bf00f211950e2a69455b,tslearn/tests/sklearn_patches.py,,check_fit_idempotent,#Any#Any#,137

Before Change

                     "predict_proba"]
    rng = np.random.RandomState(0)

    if name in ["TimeSeriesSVC", "TimeSeriesSVR"]:
        return

    estimator = clone(estimator_orig)
    set_random_state(estimator)
    if "warm_start" in estimator.get_params().keys():
        estimator.set_params(warm_start=False)

After Change

                     "predict_proba"]
    rng = np.random.RandomState(0)
    
    if _safe_tags(estimator_orig, "non_deterministic"):
        msg = name + " is non deterministic"
        raise SkipTest(msg)

    estimator = clone(estimator_orig)
    set_random_state(estimator)
    if "warm_start" in estimator.get_params().keys():
        estimator.set_params(warm_start=False)

Instances