From 64eb1aceb6191b3666a9c828e47699b3b01a0686 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Tue, 4 Mar 2025 22:55:49 +0100 Subject: [PATCH] refactor(qav3): code reformatting MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../freqaimodels/LightGBMRegressorQuickAdapterV35.py | 12 ++++++------ .../freqaimodels/XGBoostRegressorQuickAdapterV35.py | 12 ++++++------ 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py index c095527..eeef89f 100644 --- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py +++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py @@ -70,9 +70,9 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel): ) self.freqai_info["feature_parameters"][pair] = {} self.freqai_info["feature_parameters"][pair]["label_period_candles"] = ( - self.__optuna_period_params[ - pair - ].get("label_period_candles", self.ft_params["label_period_candles"]) + self.__optuna_period_params[pair].get( + "label_period_candles", self.ft_params["label_period_candles"] + ) ) def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any: @@ -230,9 +230,9 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel): dk.data["extra_returns_per_train"]["DI_cutoff"] = cutoff dk.data["extra_returns_per_train"]["label_period_candles"] = ( - self.__optuna_period_params.get( - pair, {} - ).get("label_period_candles", self.ft_params["label_period_candles"]) + self.__optuna_period_params.get(pair, {}).get( + "label_period_candles", self.ft_params["label_period_candles"] + ) ) dk.data["extra_returns_per_train"]["hp_rmse"] = self.__optuna_hp_rmse.get( pair, -1 diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py index 076b40e..3936076 100644 --- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py +++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py @@ -70,9 +70,9 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel): ) self.freqai_info["feature_parameters"][pair] = {} self.freqai_info["feature_parameters"][pair]["label_period_candles"] = ( - self.__optuna_period_params[ - pair - ].get("label_period_candles", self.ft_params["label_period_candles"]) + self.__optuna_period_params[pair].get( + "label_period_candles", self.ft_params["label_period_candles"] + ) ) def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any: @@ -231,9 +231,9 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel): dk.data["extra_returns_per_train"]["DI_cutoff"] = cutoff dk.data["extra_returns_per_train"]["label_period_candles"] = ( - self.__optuna_period_params.get( - pair, {} - ).get("label_period_candles", self.ft_params["label_period_candles"]) + self.__optuna_period_params.get(pair, {}).get( + "label_period_candles", self.ft_params["label_period_candles"] + ) ) dk.data["extra_returns_per_train"]["hp_rmse"] = self.__optuna_hp_rmse.get( pair, -1 -- 2.43.0