Testing results during training

[razvanc92]

Hello, firstly I would like to thank you for the implementation. I've been trying to use your implementation and I've noticed a big difference, during training when evaluating (fx every 10 steps) you're only reporting the mae (over all 12 time stamps), while DCRNN reports mae/mape/rmse for every time stamp. I would be interested to see those numbers during training, or at least at the end of the training so I can compare it with other models. Do you have any suggestions how I could do this?

[AprLie]

Hello, firstly I would like to thank you for the implementation. I've been trying to use your implementation and I've noticed a big difference, during training when evaluating (fx every 10 steps) you're only reporting the mae (over all 12 time stamps), while DCRNN reports mae/mape/rmse for every time stamp. I would be interested to see those numbers during training, or at least at the end of the training so I can compare it with other models. Do you have any suggestions how I could do this?

you can rewrite evalute() in dcrnn_supervisor. I could provide the code which outputs this three metrics.
ps: The distance between nodes (the .csv file) should be float dtype, or you will have dtype mismatch problem.

[chnsh]

@razvanc92 that is a reasonable request - @AprLie thanks for your help. Would @razvanc92 and @AprLie be willing to send in a PR?

[Noahprog]

I would like to use that too if that is possible, @AprLie @chnsh could you forward that code? I'm not sure how though.
Thanks in advance

[yandou904]

Hello, firstly I would like to thank you for the implementation. I've been trying to use your implementation and I've noticed a big difference, during training when evaluating (fx every 10 steps) you're only reporting the mae (over all 12 time stamps), while DCRNN reports mae/mape/rmse for every time stamp. I would be interested to see those numbers during training, or at least at the end of the training so I can compare it with other models. Do you have any suggestions how I could do this?

you can rewrite evalute() in dcrnn_supervisor. I could provide the code which outputs this three metrics. ps: The distance between nodes (the .csv file) should be float dtype, or you will have dtype mismatch problem.

I have met with the same problem, could you also provide me with the same code? thank you!

[yandou904]

I would like to use that too if that is possible, @AprLie @chnsh could you forward that code? I'm not sure how though. Thanks in advance

Have you got the answer? Could you please provide me with one? Thank you!

[Yangzelin99]

I would like to use that too if that is possible, @AprLie @chnsh could you forward that code? I'm not sure how though. Thanks in advance

Have you got the answer? Could you please provide me with one? Thank you!

I'm running into this issue as well.Have you got the answer? Could you please provide me with one? Thank you!

[User766843]

I would like to use that too if that is possible, @AprLie @chnsh could you forward that code? I'm not sure how though. Thanks in advance

Have you got the answer? Could you please provide me with one? Thank you!

I'm running into this issue as well.Have you got the answer? Could you please provide me with one? Thank you!

Have you got the answer? Could you please provide me with one? Thank you!