[MINOR][ML] Document treatment of instance weights in logreg summary

## What changes were proposed in this pull request?

Add Scaladoc noting that instance weights are currently ignored in the logistic regression summary traits.

Author: Joseph K. Bradley <joseph@databricks.com>

Closes #19071 from jkbradley/lr-summary-minor.

mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala

@@ -1356,6 +1356,8 @@ private[ml] class MultiClassSummarizer extends Serializable {
 /**
  * :: Experimental ::
  * Abstraction for logistic regression results for a given model.
+ *
+ * Currently, the summary ignores the instance weights.
  */
 @Experimental
 sealed trait LogisticRegressionSummary extends Serializable {
@@ -1495,6 +1497,8 @@ sealed trait LogisticRegressionTrainingSummary extends LogisticRegressionSummary
 /**
  * :: Experimental ::
  * Abstraction for binary logistic regression results for a given model.
+ *
+ * Currently, the summary ignores the instance weights.
  */
 @Experimental
 sealed trait BinaryLogisticRegressionSummary extends LogisticRegressionSummary {