Rakesh Chalasani created SPARK-7134:
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Summary: Add regParam and featureScaling options to Logistic
regression 'train' methods
Key: SPARK-7134
URL: https://issues.apache.org/jira/browse/SPARK-7134
Project: Spark
Issue Type: Improvement
Components: MLlib
Reporter: Rakesh Chalasani
Priority: Minor
LogisticRegressionWithSGD is private to mllib and is accessible using "train"
factory methods. But these train methods do not have provision to set
regularization parameter or feature scaling. On the other hand,
LogisticRegressionWithLBFGS is public, the user can set these parameters.
Add a more general train method that allow setting there parameters on the
model before training.
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