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From thvasilo <...@git.apache.org>
Subject [GitHub] flink pull request: [FLINK-1731] [ml] Implementation of Feature K-...
Date Tue, 30 Jun 2015 08:28:18 GMT
Github user thvasilo commented on the pull request:

    Hello @peedeeX21 . The API does not deal with distributed models at the moment. In the
K-means case having the model distributed is overkill, as it is highly unlikely that you will
have >1000 centroids, making the model tiny, and distributing it actually creates unnecessary
    We can keep the current implementation, but in the future we should really test against
a non distributed model, which can be broadcast in a DataSet[Seq[LabeledVector]] and compare
    Also, could you add an evaluate operation (EvaluateDataSetOperation) for Kmeans (and corresponding
test)? It would be parametrized as EvaluateDataSetOperation[Kmeans, Vector, Double]

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