Github user sethah commented on a diff in the pull request:

    https://github.com/apache/spark/pull/15349#discussion_r81832745
  
    --- Diff: 
examples/src/main/scala/org/apache/spark/examples/ml/LogisticRegressionWithElasticNetExample.scala
 ---
    @@ -45,6 +45,19 @@ object LogisticRegressionWithElasticNetExample {
     
         // Print the coefficients and intercept for logistic regression
         println(s"Coefficients: ${lrModel.coefficients} Intercept: 
${lrModel.intercept}")
    +
    --- End diff --
    
    I modified the existing examples to show that multinomial can be used with 
binary classification. It might be too confusing, but then that might be more 
reason to have some example to clarify it. I appreciate feedback here.


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