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I am working on calculating the top k accuracy of a model my model output logits (I am working on pythorch) so in order to calculate the top k accuracy using sklearn i was wondering what would be the difeerence if I calculate the top k accuracy using the logits vs the softmax probabilites ?

Thanks in advance

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The accuracies will be the same. Softmax is a monotonic increasing function, so the argmax on the logit scale is the same as the argmax on the probability scale. Likewise, the top $k$ entries will be the same.

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  • $\begingroup$ top_k_accuracy_score(y_true, y_score, k=2) this is the top k accuracy of sklearn but what I find in their example y_score never some up to 1 ? what y_score could be ? a softmax ? scikit-learn.org/stable/modules/generated/… $\endgroup$
    – oubo21
    Feb 13, 2022 at 23:45
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    $\begingroup$ It sounds like you have another question, but the new question is about software. Software questions are not on-topic here, as described in the help center. $\endgroup$
    – Sycorax
    Feb 13, 2022 at 23:55

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