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From dbtsai <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-10668][ML] Use WeightedLeastSquares in ...
Date Mon, 28 Sep 2015 05:17:16 GMT
Github user dbtsai commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8884#discussion_r40518874
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
    @@ -140,6 +141,17 @@ class LinearRegression(override val uid: String)
       def setWeightCol(value: String): this.type = set(weightCol, value)
       setDefault(weightCol -> "")
     
    +  /**
    +   * Set the solver algorithm for optimization.
    +   * In case of linear regression, this can be "l-bfgs", "normal" and "auto".
    +   * The default value is "auto" which means that the solver algorithm is
    +   * selected automatically.
    +   * @param value
    --- End diff --
    
    This should be
    `  * @group setParam`


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