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
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