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The first part is the log-likelihood, the second is the event cross-entropy loss, and the third is the time RMSE loss.
I don't know if it is appropriate to mix these all together. As I expect, if the log-likelihood is applied, then to predict the next event's time, the only way is to calculate the expectation of PDF:
Can anyone help me make further clarification?
The text was updated successfully, but these errors were encountered:
waystogetthere
changed the title
Loss setting in the code is different as shown in the Paper
Loss setting: can we mix likelihood and RMSE together?
Nov 20, 2022
In the Paper the Loss function contains 3 parts:
The first part is the log-likelihood, the second is the event cross-entropy loss, and the third is the time RMSE loss.
I don't know if it is appropriate to mix these all together. As I expect, if the log-likelihood is applied, then to predict the next event's time, the only way is to calculate the expectation of PDF:
Can anyone help me make further clarification?
The text was updated successfully, but these errors were encountered: