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Hi,there are some issues i dont understand during reading the code
objective function
In optimizer.py, the first term of PPD-SG's objective function is as follows:
‘(1-p_hat)tf.reduce_mean(I_postf.reshape((pred_score-a)**2, (-1, 1)) + p_hatI_negtf.reshape((pred_score-b)**2, (-1, 1)))’ It's hard for me to understand why you compute mean value for both 'pred-a' and 'pred-b' It seems quite different with the objective function in your article
the extensions for multi-classes How to modify the PPDSG for multi-class? For example, how to compute phat and Phat
I would be appreciate if you could say more about this extensions
The text was updated successfully, but these errors were encountered:
Hi,there are some issues i dont understand during reading the code
In optimizer.py, the first term of PPD-SG's objective function is as follows:
‘(1-p_hat)tf.reduce_mean(I_postf.reshape((pred_score-a)**2, (-1, 1)) + p_hatI_negtf.reshape((pred_score-b)**2, (-1, 1)))’
It's hard for me to understand why you compute mean value for both 'pred-a' and 'pred-b' It seems quite different with the objective function in your article
How to modify the PPDSG for multi-class? For example, how to compute phat and Phat
I would be appreciate if you could say more about this extensions
The text was updated successfully, but these errors were encountered: