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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2014/04/09 23:21:15 UTC

[jira] [Created] (SPARK-1457) Change APIs for training algorithms to take optimizer as parameter

DB Tsai created SPARK-1457:
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             Summary: Change APIs for training algorithms to take optimizer as parameter 
                 Key: SPARK-1457
                 URL: https://issues.apache.org/jira/browse/SPARK-1457
             Project: Spark
          Issue Type: Improvement
          Components: MLlib
            Reporter: DB Tsai


Currently, the training api has signature like LogisticRegressionWithSGD. 

If we want to use another optimizer, we've two options, either adding new api like LogisticRegressionWithNewOptimizer which causes 99% of the code duplication, or we can re-factorize the api to take the optimizer as an option like the following. 

class LogisticRegression private (
    var optimizer: Optimizer)
  extends GeneralizedLinearAlgorithm[LogisticRegressionModel]





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