Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14452
**[Test build #64071 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64071/consoleFull)**
for PR 14452 at commit
[`50f0e19`](https://github.com/apache/spark/commit/50f0e195c2e906e181a778984b098ca32d293861).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* ` logWarning(s\"All labels belong to a single class and
fitIntercept=false. It's a \" +`
* ` * Set thresholds in multiclass (or binary) classification to adjust
the probability of`
* `class MultinomialLogisticRegression @Since(\"2.1.0\") (`
* ` logWarning(s\"All labels belong to a single class and
fitIntercept=false. It's\" +`
* ` /** Margin (rawPrediction) for each class label. */`
* ` /** Score (probability) for each class label. */`
* ` class MultinomialLogisticRegressionModelWriter(instance:
MultinomialLogisticRegressionModel)`
* ` class LDAWrapperWriter(instance: LDAWrapper) extends MLWriter `
* ` class LDAWrapperReader extends MLReader[LDAWrapper] `
* `case class UnresolvedInlineTable(`
* `case class UnresolvedTableValuedFunction(functionName: String,
functionArgs: Seq[Expression])`
* `case class Literal (value: Any, dataType: DataType) extends
LeafExpression with CodegenFallback `
---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
