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Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
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Hi, I'm doing some research using nnPU with binary classification. During my experiments, there is a problem that train loss & validation loss are decreasing just like the way loss...
In 'loss.py' , line 37-38 ``` if negative_risk < -self.beta and self.nnPU: return -self.gamma * negative_risk ``` Is this correct? I think the following is correct. ``` if negative_risk <...