From bc4c2fd642ea4c430b8d48576c355a487076182e Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Sat, 17 May 2025 21:09:47 +0200 Subject: [PATCH] fix(qav3): handle MO optuna pareto front set with one value MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../user_data/freqaimodels/QuickAdapterRegressorV3.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 06551dd..1e3814c 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -45,7 +45,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): https://github.com/sponsors/robcaulk """ - version = "3.7.39" + version = "3.7.40" @cached_property def _optuna_config(self) -> dict: @@ -397,6 +397,8 @@ class QuickAdapterRegressorV3(BaseRegressionModel): if not QuickAdapterRegressorV3.optuna_study_has_best_trials(study): return None best_trials = study.best_trials + if len(best_trials) == 1: + return best_trials[0] if namespace == "label": pivots_sizes = [trial.values[1] for trial in best_trials] quantile_pivots_size = np.quantile( -- 2.43.0