Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14797
**[Test build #64377 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64377/consoleFull)**
for PR 14797 at commit
[`25c451a`](https://github.com/apache/spark/commit/25c451a67aeb912c0d215548e49c1a661d308b14).
* This patch **fails Spark unit 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 ALSWrapperWriter(instance: ALSWrapper) extends MLWriter `
* ` class ALSWrapperReader extends MLReader[ALSWrapper] `
* ` class GaussianMixtureWrapperWriter(instance: GaussianMixtureWrapper)
extends MLWriter `
* ` class GaussianMixtureWrapperReader extends
MLReader[GaussianMixtureWrapper] `
* ` class IsotonicRegressionWrapperWriter(instance:
IsotonicRegressionWrapper) extends MLWriter `
* ` class IsotonicRegressionWrapperReader extends
MLReader[IsotonicRegressionWrapper] `
* ` class LDAWrapperWriter(instance: LDAWrapper) extends MLWriter `
* ` class LDAWrapperReader extends MLReader[LDAWrapper] `
* ` class MultilayerPerceptronClassifierWrapperWriter(instance:
MultilayerPerceptronClassifierWrapper)`
* `class JavaClassificationModel(JavaPredictionModel):`
* `class LogisticRegressionModel(JavaModel, JavaClassificationModel,
JavaMLWritable, JavaMLReadable):`
* `class DecisionTreeClassificationModel(DecisionTreeModel,
JavaClassificationModel, JavaMLWritable,`
* `class RandomForestClassificationModel(TreeEnsembleModel,
JavaClassificationModel, JavaMLWritable,`
* `class GBTClassificationModel(TreeEnsembleModel, JavaPredictionModel,
JavaMLWritable,`
* `class NaiveBayesModel(JavaModel, JavaClassificationModel,
JavaMLWritable, JavaMLReadable):`
* `class MultilayerPerceptronClassificationModel(JavaModel,
JavaPredictionModel, JavaMLWritable,`
* `class LinearRegressionModel(JavaModel, JavaPredictionModel,
JavaMLWritable, JavaMLReadable):`
* `class DecisionTreeModel(JavaModel, JavaPredictionModel):`
* `class RandomForestRegressionModel(TreeEnsembleModel,
JavaPredictionModel, JavaMLWritable,`
* `class GBTRegressionModel(TreeEnsembleModel, JavaPredictionModel,
JavaMLWritable, JavaMLReadable):`
* `class GeneralizedLinearRegressionModel(JavaModel, JavaPredictionModel,
JavaMLWritable,`
* `class JavaPredictionModel():`
* `class SubstituteUnresolvedOrdinals(conf: CatalystConf) extends
Rule[LogicalPlan] `
* `case class UnresolvedInlineTable(`
* `case class UnresolvedTableValuedFunction(functionName: String,
functionArgs: Seq[Expression])`
* `case class UnresolvedOrdinal(ordinal: Int)`
* `case class Literal (value: Any, dataType: DataType) extends
LeafExpression with CodegenFallback `
* `abstract class PlanExpression[T <: QueryPlan[_]] extends Expression `
* `abstract class SubqueryExpression extends PlanExpression[LogicalPlan] `
* `case class ListQuery(plan: LogicalPlan, exprId: ExprId =
NamedExpression.newExprId)`
* `case class Exists(plan: LogicalPlan, exprId: ExprId =
NamedExpression.newExprId)`
* `case class SubqueryAlias(`
* `class QuantileSummaries(`
* ` case class Stats(value: Double, g: Int, delta: Int)`
* `class JDBCOptions(`
* `abstract class ExecSubqueryExpression extends
PlanExpression[SubqueryExec] `
* `class OrcFileFormat extends FileFormat with DataSourceRegister with
Serializable `
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