Github user actuaryzhang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16630#discussion_r103003591
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/r/GeneralizedLinearRegressionWrapper.scala
---
@@ -99,37 +95,23 @@ private[r] object GeneralizedLinearRegressionWrapper
val summary = glm.summary
val rFeatures: Array[String] = if (glm.getFitIntercept) {
- Array("(Intercept)") ++ features
+ Array("(Intercept)") ++ summary.featureNames
} else {
- features
+ summary.featureNames
}
val rCoefficients: Array[Double] = if (summary.isNormalSolver) {
- val rCoefficientStandardErrors = if (glm.getFitIntercept) {
- Array(summary.coefficientStandardErrors.last) ++
- summary.coefficientStandardErrors.dropRight(1)
- } else {
- summary.coefficientStandardErrors
- }
+ val rCoefficientStandardErrors =
+ summary.summaryTable.select("StdError").collect.map(_.getDouble(0))
- val rTValues = if (glm.getFitIntercept) {
- Array(summary.tValues.last) ++ summary.tValues.dropRight(1)
- } else {
- summary.tValues
- }
+ val rTValues =
+ summary.summaryTable.select("TValue").collect.map(_.getDouble(0))
- val rPValues = if (glm.getFitIntercept) {
- Array(summary.pValues.last) ++ summary.pValues.dropRight(1)
- } else {
- summary.pValues
- }
+ val rPValues =
+ summary.summaryTable.select("PValue").collect.map(_.getDouble(0))
- if (glm.getFitIntercept) {
- Array(glm.intercept) ++ glm.coefficients.toArray ++
- rCoefficientStandardErrors ++ rTValues ++ rPValues
- } else {
- glm.coefficients.toArray ++ rCoefficientStandardErrors ++ rTValues
++ rPValues
- }
+
summary.summaryTable.select("Coefficient").collect.map(_.getDouble(0)) ++
+ rCoefficientStandardErrors ++ rTValues ++ rPValues
--- End diff --
Yes, I checked the results, and they are the same.
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