Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7099#discussion_r34200536
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -227,12 +243,139 @@ class LinearRegressionModel private[ml] (
extends RegressionModel[Vector, LinearRegressionModel]
with LinearRegressionParams {
+ @transient private var trainingSummary:
Option[LinearRegressionTrainingSummary] = None
+
+ /**
+ * Gets results summary (e.g. residuals, mse, r-squared ) of model on
training set. This method
+ * should only be called on the driver as `summary` is transient.
+ *
+ * An exception is thrown if `trainingSummary == None`.
+ */
+ def summary: LinearRegressionTrainingSummary = trainingSummary match {
+ case Some(summ) => summ
+ case None =>
+ throw new SparkException(
+ "No training summary available for this LinearRegressionModel",
+ new NullPointerException())
+ }
+
+ private[regression] def setSummary(summary:
LinearRegressionTrainingSummary): this.type = {
+ this.trainingSummary = Some(summary)
+ this
+ }
+
+ def hasSummary: Boolean = trainingSummary.isDefined
+
+
+ /**
+ * Evaluates the model on a testset.
+ * @param dataset Test dataset to evaluate model on.
+ */
+ def evaluate(dataset: DataFrame): LinearRegressionSummary = {
--- End diff --
Will make private and mark with TODO until resolved
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