fix(qav3): revert min/max prediction smoothing

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 fa7b43677a74ba414c75a4ea1f6ff71065d97e46..fc068138dfe6bda9df47d654bf4b93886cc9e6c1 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -239,7 +239,7 @@ 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
 ):
     local_pred_df = pd.DataFrame()
@@ -258,7 +258,7 @@ 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 bfe606284f9fd836805f1e018fa7b0f0b1e52dbc..9f89034d676347bf92e15a1453924e1dc90ae1a1 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
 ):
     local_pred_df = pd.DataFrame()
@@ -258,7 +258,7 @@ 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()