perf(qav3): default label_quantile to median

Signef-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>
²#

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index 37ad09115dd340e3be5e7dcc82e6835c7a8c0aa7..6367f20b6aa1b24ce4cfb22c30393f4e02ca8c80 100644 (file)
--- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
+++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
@@ -405,7 +405,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
         if namespace == "label":
             pivots_sizes = [trial.values[1] for trial in best_trials]
             quantile_pivots_size = np.quantile(
-                pivots_sizes, self.ft_params.get("label_quantile", 0.75)
+                pivots_sizes, self.ft_params.get("label_quantile", 0.5)
             )
             equal_quantile_pivots_size_trials = [
                 trial