Narine Kokhlikyan created SPARK-11696:
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Summary: MLLIB:Optimization - Extend optimizer output for
GradientDescent and LBFGS
Key: SPARK-11696
URL: https://issues.apache.org/jira/browse/SPARK-11696
Project: Spark
Issue Type: Improvement
Components: ML, MLlib
Affects Versions: 1.6.0
Reporter: Narine Kokhlikyan
Hi there,
in current implementation the Optimization:optimize() method returns only the
weights for the features.
However, we could make it more transparent and provide more parameters about
the optimization, e.g. number of iteration, error, etc.
As discussed in bellow jira, this will be useful:
https://issues.apache.org/jira/browse/SPARK-5575
What do you think ?
Thanks,
Narine
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