[GitHub] spark pull request: [MLLIB] [SPARK-2222] Add multiclass evaluation...

[tolgap <gi...@git.apache.org>]

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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