From 9ff974ea65c916b9429073a865872b3cf2f1cfd1 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Mon, 10 Feb 2025 14:54:12 +0100 Subject: [PATCH] fix(qav3): fix path handling to journal storage MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py | 3 +-- .../user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py | 3 +-- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py index cbed34a..de96ea1 100644 --- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py +++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py @@ -69,7 +69,6 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel): start = time.time() if self.__optuna_hyperopt: study_name = str(dk.pair) - storage_dir = str(dk.full_path).rsplit("/", 1) pruner = optuna.pruners.HyperbandPruner() study = optuna.create_study( study_name=study_name, @@ -81,7 +80,7 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel): direction=optuna.study.StudyDirection.MINIMIZE, storage=optuna.storages.JournalStorage( optuna.storages.journal.JournalFileBackend( - f"{storage_dir}/optuna-lgbm-{sanitize_path(study_name)}.log" + f"./optuna-lgbm-{sanitize_path(study_name)}.log" ) ), load_if_exists=True, diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py index 823b590..63fd197 100644 --- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py +++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py @@ -69,7 +69,6 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel): start = time.time() if self.__optuna_hyperopt: study_name = str(dk.pair) - storage_dir = str(dk.full_path).rsplit("/", 1) pruner = optuna.pruners.HyperbandPruner() study = optuna.create_study( study_name=study_name, @@ -80,7 +79,7 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel): pruner=pruner, direction=optuna.study.StudyDirection.MINIMIZE, storage=optuna.storages.journal.JournalFileBackend( - f"{storage_dir}/optuna-xgboost-{sanitize_path(study_name)}.log" + f"./optuna-xgboost-{sanitize_path(study_name)}.log" ), load_if_exists=True, ) -- 2.43.0