some problems about "save-feature" process and "semi-supervised" process
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RFKxavieryang commented
Why the "save_feature" process saves the features of the val set, and then the "clustering" process also uses these features. But the "semi-supervised" process requires the clustering results of the label set. Is there something wrong?
Dayan-Guan commented
Hi @RFKxavieryang , thanks for your information.
This issue has been corrected as:
