Modification residual J+GP avec max epsilon

scikit-learn-contrib · Aug 2, 2023 · f71c7b5 · f71c7b5
1 parent 501d28f
commit f71c7b5
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diff --git a/mapie/conformity_scores/residual_conformity_scores.py b/mapie/conformity_scores/residual_conformity_scores.py
@@ -804,7 +804,7 @@ def get_bounds(
  X, ensemble
  )
  signed = -1 if self.sym else 1
- conformity_scores = conformity_scores * y_std_multi
+ conformity_scores = conformity_scores * np.maximum(self.eps, y_std_multi)
  if method == "plus":
  alpha_low = alpha_np if self.sym else alpha_np / 2
  alpha_up = 1 - alpha_np if self.sym else 1 - alpha_np / 2

diff --git a/mapie/regression/test.py b/mapie/regression/test.py
@@ -1,3 +1,7 @@
+import sys
+
+sys.path.append("/Users/edgarjaber/Desktop/Thèse/Conférences/CEMRACS-2023/projet/MAPIE")
+
 import numpy as np
 from sklearn.gaussian_process import GaussianProcessRegressor
 from sklearn.model_selection import train_test_split