[quantile regression project] final commit. merge with branch master.

projects/quantile_regression_vs_evt/annual_maxima_simulation/abstract_annual_maxima_simulation.py

@@ -48,10 +48,7 @@ class AnnualMaximaSimulation(AbstractSimulation):
         # Compute true value
         margin_model = self.time_series_lengths_to_margin_model[length]
         true_gev_params = margin_model.margin_function_sample.get_gev_params(last_coordinate)
-        print(true_gev_params)
         true_quantile = true_gev_params.quantile(self.quantile_data)
-        print(self.quantile_data)
-        print(true_quantile)
         # Compute estimated values
         estimated_quantiles = [estimator.function_from_fit.get_quantile(last_coordinate) for estimator in estimators]
         return 100 * np.abs(np.array(estimated_quantiles) - true_quantile) / true_quantile

projects/quantile_regression_vs_evt/main_non_stationary_quantile_regression.py

@@ -12,7 +12,7 @@ from spatio_temporal_dataset.coordinates.transformed_coordinates.transformation.
 nb_time_series = 10
 quantile = 0.98
 time_series_lengths = [50, 100, 200]
-transformation_class = [IdentityTransformation, CenteredScaledNormalization][0]
+transformation_class = [IdentityTransformation, CenteredScaledNormalization][1]
 model_classes = [
     NonStationaryLocationTemporalModel,
     TemporalCoordinatesQuantileRegressionModel,