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@@ -60,7 +60,7 @@ def model_training_bp():
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feas = json.loads(bp.model_params)['features']
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if set(feas).issubset(set(dh.opt.features)):
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dh.opt.features = list(feas)
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- train_x, train_y, valid_x, valid_y, scaled_train_bytes, scaled_target_bytes, scaled_cap = dh.train_data_handler(train_data)
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+ train_x, train_y, valid_x, valid_y, scaled_train_bytes, scaled_target_bytes, scaled_cap = dh.train_data_handler(train_data, bp_data=True)
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else:
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model = bp.get_keras_model(bp.opt)
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logger.info("训练数据特征，不满足，加强训练模型特征")
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David