Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7099#discussion_r34084785
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -212,12 +230,139 @@ class LinearRegressionModel private[ml] (
extends RegressionModel[Vector, LinearRegressionModel]
with LinearRegressionParams {
+ @transient private var trainingSummary:
Option[LinearRegressionTrainingSummary] = None
--- End diff --
@dbtsai I would prefer to have stats included within the same object,
rather than having separate objects for small (local) stats vs. large
(distributed) stats. Do you have a good use case for when a worker would need
to access these stats? Even in that case, the driver could get the needed
stats and then pass those to the worker.
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