Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7538#discussion_r36110215
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -407,6 +449,103 @@ private[classification] class MultiClassSummarizer
extends Serializable {
}
}
+@Experimental
+/**
+ * :: Experimental ::
+ * Logistic regression training results.
+ * @param predictions dataframe outputted by the model's `transform`
method.
+ * @param probabilityCol field in "predictions" which gives the calibrated
probability of
+ * each sample as a vector.
+ * @param labelCol field in "predictions" which gives the true label of
each sample.
+ * @param objectiveHistory objective function (scaled loss +
regularization) at each iteration.
+ */
+class LogisticRegressionTrainingSummary private[classification] (
+ predictions: DataFrame,
+ probabilityCol: String,
+ labelCol: String,
+ val objectiveHistory: Array[Double])
+ extends LogisticRegressionSummary(predictions, probabilityCol, labelCol)
{
+
+ /** Number of training iterations until termination */
+ val totalIterations = objectiveHistory.length
+
+}
+
+@Experimental
--- End diff --
This annotation should go after Scala doc, right before the class header.
(same for the one above too)
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