From e3b7d38af4a789f60cf0dd38905687858601f2d2 Mon Sep 17 00:00:00 2001
From: Le Roux Erwan <erwan.le-roux@irstea.fr>
Date: Tue, 24 Mar 2020 18:11:58 +0100
Subject: [PATCH] [quantile regression project] final commit. merge with
branch master.
---
.../abstract_annual_maxima_simulation.py | 3 ---
.../main_non_stationary_quantile_regression.py | 2 +-
2 files changed, 1 insertion(+), 4 deletions(-)
diff --git a/projects/quantile_regression_vs_evt/annual_maxima_simulation/abstract_annual_maxima_simulation.py b/projects/quantile_regression_vs_evt/annual_maxima_simulation/abstract_annual_maxima_simulation.py
index 850353e3..f4638c70 100644
--- a/projects/quantile_regression_vs_evt/annual_maxima_simulation/abstract_annual_maxima_simulation.py
+++ b/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
diff --git a/projects/quantile_regression_vs_evt/main_non_stationary_quantile_regression.py b/projects/quantile_regression_vs_evt/main_non_stationary_quantile_regression.py
index c0339e37..2e6575b5 100644
--- a/projects/quantile_regression_vs_evt/main_non_stationary_quantile_regression.py
+++ b/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,
--
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