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作者,您好。很高兴看到你们的消歧方法产生了显著了性能提升。但是,在你们的代码中(autotrain_bond.py)对于训练集和验证集似乎都采用同样的训练方式,即验证集并没有参与模型的调整?你们是如何考虑泛化和过拟合的问题的?请赐教
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作者,您好。很高兴看到你们的消歧方法产生了显著了性能提升。但是,在你们的代码中(autotrain_bond.py)对于训练集和验证集似乎都采用同样的训练方式,即验证集并没有参与模型的调整?你们是如何考虑泛化和过拟合的问题的?请赐教
The text was updated successfully, but these errors were encountered: