[projection snowfall] validate aic and bic for the spline models.

bd486a7e · Le Roux Erwan · dbe4a717 · bd486a7e
Commit bd486a7e authored 4 years ago by Le Roux Erwan
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with 2 additions and 2 deletions
+2 -2
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_spline.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_spline.py
@@ -70,8 +70,8 @@ class TestGevTemporalSpline(unittest.TestCase):
                                       places=2)
        # Assert that indicators are correctly computed
        self.assertAlmostEqual(estimator.result_from_model_fit.nllh, estimator.nllh())
-        # self.assertAlmostEqual(estimator.result_from_model_fit.aic, estimator.aic())
-        # self.assertAlmostEqual(estimator.result_from_model_fit.bic, estimator.bic())
+        self.assertAlmostEqual(estimator.result_from_model_fit.aic, estimator.aic())
+        self.assertAlmostEqual(estimator.result_from_model_fit.bic, estimator.bic())

    def test_gev_temporal_margin_fit_spline_two_linear_location(self):
        self.function_test_gev_temporal_margin_fit_non_stationary_spline(NonStationaryTwoLinearLocationModel,