refactor(qav3): rename signal thresholding tunable

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

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index a1a32d103defc3cf0ed9464d58f487bce7c3c909..fb0654682aff7e8e9de8eb03769fd579c7c423f4 100644 (file)
--- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
+++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
@@ -289,7 +289,9 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
         return eval_set, eval_weights
 
     def min_max_pred(self, pred_df: pd.DataFrame) -> tuple[float, float]:
-        temperature = self.freqai_info.get("predictions_temperature", 140.0)
+        temperature = float(
+            self.freqai_info.get("prediction_thresholds_temperature", 140.0)
+        )
         min_pred = smoothed_min(
             pred_df[EXTREMA_COLUMN],
             temperature=temperature,