Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11447#discussion_r55134020
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/AFTSurvivalRegression.scala
---
@@ -376,6 +400,23 @@ object AFTSurvivalRegressionModel extends
MLReadable[AFTSurvivalRegressionModel]
}
/**
+ * :: Experimental ::
+ * AFT survival regression results evaluated on a dataset.
+ *
+ * @param predictions dataframe outputted by the model's `transform`
method.
+ * @param predictionCol field in "predictions" which gives the prediction
of each instance.
+ * @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.
+ */
+@Experimental
+@Since("2.0.0")
+class AFTSurvivalRegressionSummary private[regression] (
+ @Since("2.0.0") @transient val predictions: DataFrame,
+ @Since("2.0.0") val predictionCol: String,
--- End diff --
Could you please help me understand where is the usage of predictionCol,
labelCol featuresCol?
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