Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7099#discussion_r33967430
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -212,12 +226,110 @@ class LinearRegressionModel private[ml] (
extends RegressionModel[Vector, LinearRegressionModel]
with LinearRegressionParams {
+ @transient private var trainingResults:
Option[LinearRegressionTrainingResults] = None
+
+ /**
+ * Gets results (e.g. residuals, mse, r^2) of model on training set.
This method should only
+ * be called on the driver (it is not available on workers).
+ */
+ def getTrainingResults: Option[LinearRegressionTrainingResults] =
trainingResults
+
+ def setTrainingResults(trainingResults:
LinearRegressionTrainingResults): this.type = {
+ this.trainingResults = Some(trainingResults)
+ this
+ }
+
+ /**
+ * Evaluates the model on a test-set.
+ * @param testset Test dataset to evaluate model on.
--- End diff --
Let's just call it "dataset" for uniformity
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