Github user tolgap commented on the pull request:
https://github.com/apache/spark/pull/1155#issuecomment-70509594
@avulanov You have added a class called `MulticlassMetrics`, but I do not
understand how it operates on multiclass classification? I would understand the
usage if it accepts `RDD[(Vector, Vector)]`, but it uses `RDD[(Double,
Double)]` and that seems to me like binary classification?
Can you give me an example for... say: the MNIST dataset (10 output
neurons). Thanks!
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