zhengruifeng commented on code in PR #50825:
URL: https://github.com/apache/spark/pull/50825#discussion_r2078837891
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mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala:
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@@ -879,23 +892,31 @@ object LinearRegressionModel extends
MLReadable[LinearRegressionModel] {
*
* @param predictions predictions output by the model's `transform` method.
* @param objectiveHistory objective function (scaled loss + regularization)
at each iteration.
+ * @param coefficientArray Coefficients of the linear regression model, only
necessary when
+ * diagInvAtWA is not Array(0).
*/
@Since("1.5.0")
class LinearRegressionTrainingSummary private[regression] (
predictions: DataFrame,
predictionCol: String,
labelCol: String,
featuresCol: String,
- model: LinearRegressionModel,
+ private val weightCol: String,
+ private val numFeatures: Int,
+ private val fitIntercept: Boolean,
diagInvAtWA: Array[Double],
- val objectiveHistory: Array[Double])
+ val objectiveHistory: Array[Double],
+ private val coefficientArray: Array[Double] = Array.emptyDoubleArray)
Review Comment:
the `coefficientArray` is only used to compute `tValues` when `diagInvAtWA
!= Array(0)`
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