Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4677#discussion_r25140131
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/BoostingStrategy.scala
---
@@ -34,6 +34,12 @@ import org.apache.spark.mllib.tree.loss.{LogLoss,
SquaredError, Loss}
* weak hypotheses used in the final model.
* @param learningRate Learning rate for shrinking the contribution of
each estimator. The
* learning rate should be between in the interval (0,
1]
+ * @param validationTol Useful when runWithValidation is used. If the
error rate between two
+ iterations is lesser than the validationTol, then
stop. If run
--- End diff --
"lesser" --> "less"
Also, use double brackets to add link to "run" to be clearer.
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