Comments (2)
Thanks for the question. This is a very old repo, but @benman1 did a great job cleaning up the mess recently. Regarding the loss function: the one previously used was wrong of course, and needs to be corrected according to what you are reporting above. As further discussion topic, we may consider using the new probabilistic layers introduced with Tensorflow Probability here , where they use a simple lambda
function to directly reference the negative log likelihood of a Gaussian distribution: negloglik = lambda y, rv_y: -rv_y.log_prob(y)
. In this case we would not even need to express the likelihood explicitly
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@SPOREIII I've changed this to your formula. Please check.
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