From 2662077a77988c4d0d18fe92a4ec2c9caf1878a2 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Wed, 28 May 2025 16:15:17 +0200 Subject: [PATCH] perf(qav3): default to seuclidean for MO trial selection 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, 2 insertions(+), 2 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 0e0d9fc..b94572c 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -407,7 +407,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): if not QuickAdapterRegressorV3.optuna_study_has_best_trials(study): return None - label_metric = self.ft_params.get("label_metric", "euclidean") + label_metric = self.ft_params.get("label_metric", "seuclidean") metrics = { "braycurtis", "canberra", @@ -686,7 +686,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): **self.get_optuna_params(pair, namespace), } metric_log_msg = ( - f" using {self.ft_params.get('label_metric', 'euclidean')} metric" + f" using {self.ft_params.get('label_metric', 'seuclidean')} metric" ) logger.info( f"Optuna {pair} {namespace} {objective_type} objective done{metric_log_msg} ({time_spent:.2f} secs)" -- 2.43.0