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jaideep11061982 avatar jaideep11061982 commented on June 19, 2024 1

NOt sure why but my loss keeps circulating around few values so model dsn converges

self.link = LogisticCumulativeLink1(6,
                                           init_cutpoints='ordered')
def forward(self,  x):
     
       x = self.enc(x)
      
       x = self.head(x) # it output dim is 1 
       x=self.link(x)
       
     
       return x

loss=CumulativeLinkLoss()

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EthanRosenthal avatar EthanRosenthal commented on June 19, 2024

The link_mat comes from the middle line of this equation (from my blog post on this)

image

Adjacent cutpoints have to be subtracted from each other.

The AscenscionCallback gets called at the end of every batch.

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EthanRosenthal avatar EthanRosenthal commented on June 19, 2024

Sorry I can't really help debug -- it could have something to do with the library or be something else. Perhaps you can try training as a regular regression model to see if you can fit that. If you can, then maybe it's something to do with ordinal regression, specifically.

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