From 65bca19b93bd47a71b433def5d902ae4c2804b28 Mon Sep 17 00:00:00 2001
From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= <jerome.benoit@piment-noir.org>
Date: Sun, 25 May 2025 11:55:01 +0200
Subject: [PATCH] perf(qav3): default label_quantile to median
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Signef-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

²#
---
 quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index 37ad091..6367f20 100644
--- 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
-- 
2.43.0