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

• Type: Improvement
• Status: Closed
• Priority: Minor
• Resolution: Fixed
• Affects Version/s: 0.9.1
• Component/s: Library / Machine Learning
• Labels: ML
• Assignee: Chiwan Park
• Reporter: Theodore Vasiloudis
• Created: 16/Oct/15 10:45
• Updated: 13/Apr/21 20:39
• Resolved: 20/Nov/15 17:13

Description

The getting started guide code example uses the following code:

val trainingData: DataSet[LabeledVector] = ...
val testingData: DataSet[Vector] = ...

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

mlr.fit(trainingData, parameters)

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