Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/14109#discussion_r73644694
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -862,27 +873,30 @@ class LinearRegressionSummary private[regression] (
* $$
* </blockquote></p>
*
- * @param coefficients The coefficients corresponding to the features.
+ * @param bcCoefficients The broadcast coefficients corresponding to the
features.
* @param labelStd The standard deviation value of the label.
* @param labelMean The mean value of the label.
* @param fitIntercept Whether to fit an intercept term.
- * @param featuresStd The standard deviation values of the features.
- * @param featuresMean The mean values of the features.
+ * @param bcFeaturesStd The broadcast standard deviation values of the
features.
+ * @param bcFeaturesMean The broadcast mean values of the features.
*/
private class LeastSquaresAggregator(
- coefficients: Vector,
+ bcCoefficients: Broadcast[Vector],
labelStd: Double,
labelMean: Double,
fitIntercept: Boolean,
- featuresStd: Array[Double],
- featuresMean: Array[Double]) extends Serializable {
+ bcFeaturesStd: Broadcast[Array[Double]],
+ bcFeaturesMean: Broadcast[Array[Double]]) extends Serializable {
private var totalCnt: Long = 0L
private var weightSum: Double = 0.0
private var lossSum = 0.0
- private val (effectiveCoefficientsArray: Array[Double], offset: Double,
dim: Int) = {
- val coefficientsArray = coefficients.toArray.clone()
+ private val dim = bcCoefficients.value.size
+ @transient private lazy val featuresStd = bcFeaturesStd.value
+ @transient private lazy val effectiveCoefAndOffset = {
--- End diff --
@sethah has explained this issue in comment which has been folded.
```@transient private lazy val (effectiveCoefficientsVector: Vector,
offset: Double)``` will generates a ```Tuple2``` which does not contain the
transient tag. The individual vals are still transient, but the tuple is not
and thus gets serialized.
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