Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15435#discussion_r114043519
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -1231,6 +1295,109 @@ class BinaryLogisticRegressionSummary
private[classification] (
}
}
+sealed trait BinaryLogisticRegressionTrainingSummary extends
BinaryLogisticRegressionSummary
+ with LogisticRegressionTrainingSummary
+
+/**
+ * :: Experimental ::
+ * Multiclass logistic regression training results.
+ *
+ * @param predictions dataframe output by the model's `transform` method.
+ * @param probabilityCol field in "predictions" which gives the
probability of
+ * each class as a vector.
+ * @param predictionCol field in "predictions" which gives the prediction
for a data instance as a
+ * double.
+ * @param labelCol field in "predictions" which gives the true label of
each instance.
+ * @param featuresCol field in "predictions" which gives the features of
each instance as a vector.
+ * @param objectiveHistory objective function (scaled loss +
regularization) at each iteration.
+ */
+@Experimental
+@Since("2.2.0")
+private class LogisticRegressionTrainingSummaryImpl(
+ override val predictions: DataFrame,
+ override val probabilityCol: String,
+ override val predictionCol: String,
+ override val labelCol: String,
+ override val featuresCol: String,
+ @Since("1.5.0") val objectiveHistory: Array[Double])
+ extends LogisticRegressionSummaryImpl(
+ predictions, probabilityCol, predictionCol, labelCol, featuresCol)
+ with LogisticRegressionTrainingSummary {
+
+}
+
+/**
+ * :: Experimental ::
+ * Multiclass Logistic regression results for a given model.
--- End diff --
yeah, I already rebase it. (If I do not squash the commit to fix conflicts
, the rebase always fail, maybe there are some better way?)
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