Open XDS0rryMaker opened 2 months ago
You can perceive beta and alpha as regular parameters rather than hyperparameters. The experiment only utilizes the features and pseudo labels of the test data, which is a prevalent approach in semi-supervised learning. Alternatively, you can also keep beta and alpha fixed; however, this might slightly compromise the results.
You can perceive beta and alpha as regular parameters rather than hyperparameters. The experiment only utilizes the features and pseudo labels of the test data, which is a prevalent approach in semi-supervised learning. Alternatively, you can also keep beta and alpha fixed; however, this might slightly compromise the results.
thanks for timely reply. it is of great help!Appreciate!
为什么best_beta、best_alpha的生成能够用到测试数据的pse_keys?超参数的生成不是应该和测试数据无关吗?