From 01a61e412fe869681b5eccc62b9ec24b7351453d Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Mon, 7 Apr 2025 16:33:25 +0200 Subject: [PATCH] refactor(qav3): rename signal thresholding tunable MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../user_data/freqaimodels/QuickAdapterRegressorV3.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index a1a32d1..fb06546 100644 --- 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, -- 2.43.0