You are viewing a plain text version of this content. The canonical link for it is here.
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:
------------------------------------------
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)