Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/6684#discussion_r31869050
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
---
@@ -179,7 +179,7 @@ abstract class GeneralizedLinearAlgorithm[M <:
GeneralizedLinearModel]
*/
def run(input: RDD[LabeledPoint]): M = {
if (numFeatures < 0) {
- numFeatures = input.map(_.features.size).first()
+ numFeatures = input.first().features.size
--- End diff --
There is also a good possibility that input is very large. Is accessing the
first element of a RDD slower than doing a distributed operation across the
entire RDD?
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