Github user WeichenXu123 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/15435#discussion_r133883361
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
 ---
    @@ -1324,90 +1350,136 @@ private[ml] class MultiClassSummarizer extends 
Serializable {
     }
     
     /**
    - * Abstraction for multinomial Logistic Regression Training results.
    - * Currently, the training summary ignores the training weights except
    - * for the objective trace.
    - */
    -sealed trait LogisticRegressionTrainingSummary extends 
LogisticRegressionSummary {
    -
    -  /** objective function (scaled loss + regularization) at each iteration. 
*/
    -  def objectiveHistory: Array[Double]
    -
    -  /** Number of training iterations until termination */
    -  def totalIterations: Int = objectiveHistory.length
    -
    -}
    -
    -/**
    - * Abstraction for Logistic Regression Results for a given model.
    + * Abstraction for logistic regression results for a given model.
      */
     sealed trait LogisticRegressionSummary extends Serializable {
     
       /**
        * Dataframe output by the model's `transform` method.
        */
    +  @Since("2.3.0")
    --- End diff --
    
    @jkbradley 
    I think about this, currently the concrete impl class are marked as 
private, so it seems add @Since in `trait` is better (this is discussed with 
@sethah before) So what do you think about  this:
    ```
    sealed trait LogisticRegressionSummary extends Serializable {
    
      /**
       * Dataframe output by the model's `transform` method.
       */
      @Since("1.5.0")
      def predictions: DataFrame
    
      /** Field in "predictions" which gives the probability of each class as a 
vector. */
      @Since("1.5.0")
      def probabilityCol: String
    
      /** Field in "predictions" which gives the prediction of each class. */
      @Since("2.3.0")
      def predictionCol: String
    
      /** Field in "predictions" which gives the true label of each instance 
(if available). */
      @Since("1.5.0")
      def labelCol: String
    
      /** Field in "predictions" which gives the features of each instance as a 
vector. */
      @Since("1.6.0")
      def featuresCol: String
      ...
    }
    ```
    I also check current master code and `featuresCol` is marked "1.6.0", 
others marked "1.5.0", and "predictionCol" is new added so mark it "2.3.0"


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