Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/13841#discussion_r68191189
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -674,12 +674,12 @@ 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()
+
// We will need numClasses, numFeatures in the future for
multinomial logreg support.
- // val numClasses = data.getInt(0)
- // val numFeatures = data.getInt(1)
- val intercept = data.getDouble(2)
- val coefficients = data.getAs[Vector](3)
+ val Row(numClasses: Int, numFeatures: Int, intercept: Double,
coefficients: Vector) =
+ MLUtils.convertVectorColumnsToML(data, "coefficients")
+ .select("numClasses", "numFeatures", "intercept", "coefficients")
--- End diff --
should have two more spaces
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
