Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/13841#discussion_r68088372
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -674,12 +674,13 @@ object LogisticRegressionModel extends
MLReadable[LogisticRegressionModel] {
val dataPath = new Path(path, "data").toString
val data = sparkSession.read.format("parquet").load(dataPath)
- .select("numClasses", "numFeatures", "intercept",
"coefficients").head()
+ .select("numClasses", "numFeatures", "intercept", "coefficients")
+ val row = MLUtils.convertVectorColumnsToML(data,
"coefficients").head()
--- End diff --
I think we should call convert vector columns first and then call `select`
to ensure the ordering of columns. There is no contact on keeping the column
ordering between mappings.
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