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jingw2 avatar jingw2 commented on September 4, 2024

What I understand is to use quantile loss to control the relative relationship between quantiles. MQ-RNN could directly output results of different quantiles from the network.

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Goofy321 avatar Goofy321 commented on September 4, 2024

Yes. I can understand that by using quantile loss as the objective function, the network is trained in the direction of predicting different quantiles. And we believe a well-trained network can meet the requriment of the relative relationship between quantiles most of the time. What worries me is whether the network can output quantiles with expected relative relationship always? I mean, for every sample.

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2017wxyzwxyz avatar 2017wxyzwxyz commented on September 4, 2024

@Goofy321,Please send me your code, thank you very much! My e-mail address is [email protected]

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