Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/15435#discussion_r134628661
--- 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 --
I see; I think this should work.
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