Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/7884#discussion_r36162580
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -451,11 +471,14 @@ private class LogisticAggregator(
* @param label The label for this data point.
* @param data The features for one data point in dense/sparse vector
format to be added
* into this aggregator.
+ * @param sampleWeight The weight for over-/undersamples each of
training sample.
* @return This LogisticAggregator object.
*/
- def add(label: Double, data: Vector): this.type = {
+ def add(label: Double, sampleWeight: Double = 1.0, data: Vector):
this.type = {
--- End diff --
My bad. I move it from later one with default variable, and decide to
always specifically give the sampleWeight. I forgot to remove the default
variable.
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