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All kind of measure (Recall, NDCG_binary_at_k_batch) alway return NaN #16

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@TruongThuyLiem

Hi all, when training the Recall measure always returns the NaN value, which means the model could not learn anything? right? that means the model could not describe a latent vector similar input vector? Even though I tried to compute the recall measure on training data, it's still NaN :) . it's similar to training accuracy = 0?
And finally, this model is useless??
Thank you

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