From abad729bc6b632e951610e31cbba5647ca4a342f Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Mon, 14 Apr 2025 12:29:45 +0200 Subject: [PATCH] perf(qav3): fine tune prediction thresholds temperature 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, 2 insertions(+), 2 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 62cec4c..2bdf26c 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -44,7 +44,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): https://github.com/sponsors/robcaulk """ - version = "3.7.9" + version = "3.7.10" @cached_property def _optuna_config(self) -> dict: @@ -372,7 +372,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): def min_max_pred(self, pred_df: pd.DataFrame) -> tuple[float, float]: temperature = float( - self.freqai_info.get("prediction_thresholds_temperature", 120.0) + self.freqai_info.get("prediction_thresholds_temperature", 150.0) ) min_pred = smoothed_min( pred_df[EXTREMA_COLUMN], -- 2.43.0