Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15671#discussion_r94709216
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -888,6 +888,12 @@ class LDA @Since("1.6.0") (
@Since("2.0.0")
override def fit(dataset: Dataset[_]): LDAModel = {
transformSchema(dataset.schema, logging = true)
+
+ val instr = Instrumentation.create(this, dataset)
+ instr.logParams(featuresCol, topicDistributionCol, k, maxIter,
subsamplingRate,
+ checkpointInterval, keepLastCheckpoint, optimizeDocConcentration,
topicConcentration,
--- End diff --
I leave it out by intention. Because `docConcentration` may be a double
arrary of size `k`, it maybe too large to log.
---
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]
