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From rawkintrevo <...@git.apache.org>
Subject [GitHub] flink pull request: [FLINK-2157] [ml] Create evaluation framework ...
Date Thu, 21 Apr 2016 13:19:00 GMT
Github user rawkintrevo commented on the pull request:

    np, also RE: my comment on the docs- I think I can lend a hand there (I was actually testing
functionality to make sure I understood how it worked). Let me know if I can be of assistance.
    Also, I did some more hacking this morning...
    import org.apache.flink.api.scala._
    import org.apache.flink.ml.preprocessing.StandardScaler
    val scaler = StandardScaler()//MinMaxScaler()
    import org.apache.flink.ml.evaluation.{RegressionScores, Scorer}
    val loss = RegressionScores.squaredLoss
    val scorer = new Scorer(loss)
    import org.apache.flink.ml.regression.MultipleLinearRegression
    val mlr = MultipleLinearRegression()
    val pipeline = scaler.chainPredictor(mlr)
    val evaluationDS = survivalLV.map(x => (x.vector, x.label))
    scorer.evaluate(evaluationDS, pipeline).collect().head
    This throws the  `breeze.linalg...` error.  So I'm not sure exactly what is different,
but it would seem the breeze.linalg is close to the heart of the problem(?)

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