[contrasting] modify nllh code. and nb_params for gumbel models.

extreme_fit/estimator/margin_estimator/abstract_margin_estimator.py

@@ -55,7 +55,7 @@ class LinearMarginEstimator(AbstractMarginEstimator):
             assert len(
                 maximum) == 1, 'So far, only one observation for each coordinate, but code would be easy to change'
             maximum = maximum[0]
-            gev_params = self.function_from_fit.get_params(coordinate, is_transformed=False)
+            gev_params = self.function_from_fit.get_params(coordinate, is_transformed=True)
             p = gev_params.density(maximum)
             nllh -= np.log(p)
             assert not np.isinf(nllh)

extreme_fit/model/margin_model/linear_margin_model/temporal_linear_margin_models.py

@@ -126,6 +126,10 @@ class GumbelTemporalModel(StationaryTemporalModel):
         super().__init__(coordinates, params_user, starting_point, fit_method,
                          nb_iterations_for_bayesian_fit, params_initial_fit_bayesian, type_for_MLE="Gumbel")
 
+    @property
+    def nb_params(self):
+        return super().nb_params - 1
+
 
 class NonStationaryLocationGumbelModel(GumbelTemporalModel, NonStationaryLocationTemporalModel):
     pass