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您在transductive_multishot/models/protonet_ours.py中计算曲率参数时，将(all_data * (mean_proto_category.shape[0] + data_query.shape[0]) - mean_proto_category * self.args.shot) / (mean_proto_category.shape[0] + data_query.shape[0] - self.args.shot)作为类原型，请问您为什么这样做？有什么理论支持么？
transductive_multishot/models/protonet_ours.py
(all_data * (mean_proto_category.shape[0] + data_query.shape[0]) - mean_proto_category * self.args.shot) / (mean_proto_category.shape[0] + data_query.shape[0] - self.args.shot)
The text was updated successfully, but these errors were encountered:
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您在
transductive_multishot/models/protonet_ours.py中计算曲率参数时，将(all_data * (mean_proto_category.shape[0] + data_query.shape[0]) - mean_proto_category * self.args.shot) / (mean_proto_category.shape[0] + data_query.shape[0] - self.args.shot)作为类原型，请问您为什么这样做？有什么理论支持么？The text was updated successfully, but these errors were encountered: