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Posted to issues@flink.apache.org by "Theodore Vasiloudis (JIRA)" <ji...@apache.org> on 2015/10/16 12:45:05 UTC

[jira] [Created] (FLINK-2860) The mlr object from the FlinkML Getting Started code example uses an undefined argument

Theodore Vasiloudis created FLINK-2860:
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             Summary: The mlr object from the FlinkML Getting Started code example uses an undefined argument
                 Key: FLINK-2860
                 URL: https://issues.apache.org/jira/browse/FLINK-2860
             Project: Flink
          Issue Type: Improvement
          Components: Machine Learning Library
    Affects Versions: 0.9.1
            Reporter: Theodore Vasiloudis
            Priority: Trivial


The getting started guide code example uses the following code:
{code}
val trainingData: DataSet[LabeledVector] = ...
val testingData: DataSet[Vector] = ...

val mlr = MultipleLinearRegression()
  .setStepsize(1.0)
  .setIterations(100)
  .setConvergenceThreshold(0.001)

mlr.fit(trainingData, parameters)
{code}

The call to {{mlr.fit()}} uses a {{parameters}} argument that is unnecessary, we should remove that.



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