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You can use the built-in hyperparameter selection to find the most suitable parameters for your model. And also display the matrices in the form of a graph for various model parameters. https://recbole.io/docs/user_guide/usage/parameter_tuning.html |
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我尝试在官网的示例中的config直接添加config = Config(model='LightGCN', dataset='ml-100k', learner='adam')但是会报错TypeError: init() got an unexpected keyword argument 'learner',还有显示的超参是训练300轮,第75轮就停下了是因为有设置loss不在降低就停止吗。我想将训练中的数据绘制成图该如何做。
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