Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/7538#discussion_r35630211
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -407,6 +449,99 @@ private[classification] class MultiClassSummarizer
extends Serializable {
}
}
+@Experimental
+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
+class LogisticRegressionSummary private[classification] (
+ @transient val predictions: DataFrame,
+ val probabilityCol: String,
+ val labelCol: String) extends Serializable {
+
+ /** Returns a BinaryClassificationMetrics object.
+ */
+ @transient val metrics = new BinaryClassificationMetrics(
+ predictions.select(probabilityCol, labelCol).map {
+ case Row(score: Vector, label: Double) => (score(1), label)
+ }
--- End diff --
Indeed. But how do we expose this to the user. Or do we use some sort of
heuristic?
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