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Using RevoPemaR in a Hadoop/Spark Compute Context RRS feed

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    When using pemaCompute() in a Hadoop or Spark compute context, I get this an error: 

    meanPemaObj <- PemaMean()
pemaCompute(pemaObj = meanPemaObj, data = iris, varName = "Petal.Length", computeContext = myHadoopCluster)
    Error in do.call(inputObject[["FUN"]], inputObject[["ARGS"]]) :
      could not find function "pemaCompute"

    Do you have any idea if RevoPemaR is supported in distributed contexts and if we can use it to develop custom parallel external memory algorithms?

    Tuesday, November 22, 2016 7:35 AM

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