Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14607
**[Test build #64311 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64311/consoleFull)**
for PR 14607 at commit
[`399e38e`](https://github.com/apache/spark/commit/399e38e0561052e9a9112da18446015346b9a5a4).
* 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 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 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 TreeEnsembleModel(JavaModel):`
* `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 With(child: LogicalPlan, cteRelations: Seq[(String,
SubqueryAlias)]) extends UnaryNode `
* `case class SubqueryAlias(`
* `class QuantileSummaries(`
* ` case class Stats(value: Double, g: Int, delta: Int)`
* `class JDBCOptions(`
* `class JacksonParser(`
* `abstract class ExecSubqueryExpression extends
PlanExpression[SubqueryExec] `
* `class OrcFileFormat extends FileFormat with DataSourceRegister with
Serializable `
---
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]
