perf: evaluate log-sum-exp extrame smoothing by default

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
index 6208d9c8f683ed86f71b9c391f2a3fa4122c6d6b..8390f53dbe16de80be600c525680d91c424c177b 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -236,7 +236,7 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
         return eval_set, eval_weights
 
 
-def __min_max_pred(
+def min_max_pred(
     pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
 ):
     beta = 10.0
@@ -247,7 +247,7 @@ def __min_max_pred(
     return min_pred, max_pred
 
 
-def min_max_pred(
+def __min_max_pred(
     pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
 ):
     pred_df_sorted = pd.DataFrame()

diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
index 6c8948efbe04868d404ef338393b320bd3489c6f..4b771cb1d3d7b96109c55b85fbf392eb40b81ab0 100644 (file)
--- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
@@ -239,7 +239,7 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel):
         return eval_set, eval_weights
 
 
-def __min_max_pred(
+def min_max_pred(
     pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
 ):
     beta = 10.0
@@ -250,7 +250,7 @@ def __min_max_pred(
     return min_pred, max_pred
 
 
-def min_max_pred(
+def __min_max_pred(
     pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
 ):
     pred_df_sorted = pd.DataFrame()