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@@ -163,9 +163,6 @@ class EffectiveCdPredictor:
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# 加载数据
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data = self.load_data()
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- # 保存原始数据，包括经纬度
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- longitude = data["longitude"].values
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- latitude = data["latitude"].values
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# 预处理数据
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X_tensor, special_feature_index = self.preprocess_data(data)
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@@ -180,14 +177,9 @@ class EffectiveCdPredictor:
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).squeeze().numpy()
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+ # 指数还原预测结果并按与作物Cd模型一致的格式输出为单列CSV
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cd_predictions = np.exp(predictions)
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-
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- # 创建包含经纬度和预测结果的数据框
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- predictions_df = pd.DataFrame({
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- "longitude": longitude,
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- "latitude": latitude,
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- "cd_prediction": cd_predictions
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- })
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+ predictions_df = pd.DataFrame(cd_predictions)
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output_path = os.path.join(
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config.DATA_PATHS["predictions_dir"],
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self.model_config["output_file"]
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