SparkQA commented on pull request #34453: URL: https://github.com/apache/spark/pull/34453#issuecomment-994516401
**[Test build #146224 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/146224/testReport)** for PR 34453 at commit [`75131c8`](https://github.com/apache/spark/commit/75131c82193303d2f38b922544adf999c0650f1a). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class SparkConf(object):` * `class ProbabilisticClassifier(Classifier, _ProbabilisticClassifierParams, metaclass=ABCMeta):` * `class ProbabilisticClassificationModel(` * `class _JavaProbabilisticClassifier(ProbabilisticClassifier, _JavaClassifier, metaclass=ABCMeta):` * `class _JavaProbabilisticClassificationModel(` * `class _LinearSVCParams(` * `class LinearSVCModel(` * `class _LogisticRegressionParams(` * `class LogisticRegression(` * `class LogisticRegressionModel(` * `class BinaryLogisticRegressionSummary(_BinaryClassificationSummary, LogisticRegressionSummary):` * `class BinaryLogisticRegressionTrainingSummary(` * `class DecisionTreeClassifier(` * `class DecisionTreeClassificationModel(` * `class RandomForestClassifier(` * `class RandomForestClassificationModel(` * `class RandomForestClassificationTrainingSummary(` * `class BinaryRandomForestClassificationTrainingSummary(` * `class GBTClassifier(` * `class GBTClassificationModel(` * `class NaiveBayes(` * `class NaiveBayesModel(` * `class _MultilayerPerceptronParams(` * `class MultilayerPerceptronClassifier(` * `class MultilayerPerceptronClassificationModel(` * `class MultilayerPerceptronClassificationTrainingSummary(` * `class FMClassifier(` * `class FMClassificationModel(` * `class _GaussianMixtureParams(` * `class GaussianMixtureModel(` * `class _KMeansParams(` * `class KMeansModel(` * `class _BisectingKMeansParams(` * `class BisectingKMeansModel(` * `class PowerIterationClustering(` * `class BinaryClassificationEvaluator(` * `class RegressionEvaluator(` * `class MulticlassClassificationEvaluator(` * `class MultilabelClassificationEvaluator(` * `class ClusteringEvaluator(` * `class RankingEvaluator(` * `class Binarizer(` * `class BucketedRandomProjectionLSH(` * `class BucketedRandomProjectionLSHModel(` * `class Bucketizer(` * `class ElementwiseProduct(` * `class FeatureHasher(` * `class HashingTF(` * `class _OneHotEncoderParams(` * `class PolynomialExpansion(` * `class QuantileDiscretizer(` * `class _StringIndexerParams(` * `class StopWordsRemover(` * `class VectorAssembler(` * `class VectorSizeHint(` * `class VarianceThresholdSelector(` * `class VarianceThresholdSelectorModel(` * `class UnivariateFeatureSelector(` * `class UnivariateFeatureSelectorModel(` * `class _LinearRegressionParams(` * `class LinearRegressionModel(` * `class IsotonicRegression(` * `class IsotonicRegressionModel(JavaModel, _IsotonicRegressionParams, JavaMLWritable, JavaMLReadable):` * `class DecisionTreeRegressor(` * `class RandomForestRegressor(` * `class _AFTSurvivalRegressionParams(` * `class AFTSurvivalRegression(` * `class AFTSurvivalRegressionModel(` * `class _GeneralizedLinearRegressionParams(` * `class GeneralizedLinearRegression(` * `class GeneralizedLinearRegressionModel(` * `class _FactorizationMachinesParams(` * `class FMRegressionModel(` * `class CrossValidator(` * `class TrainValidationSplit(` * ` + \"class name ` * `class MultivariateGaussian(NamedTuple):` * `class TimedeltaOps(DataTypeOps):` * `class TimedeltaIndex(Index):` * `class MissingPandasLikeTimedeltaIndex(MissingPandasLikeIndex):` * `class PandasSQLStringFormatter(string.Formatter):` * `class PandasAPIOnSparkAdviceWarning(Warning):` * `class UDFBasicProfiler(BasicProfiler):` * `class CloudPickleSerializer(FramedSerializer):` * `class ArrowStreamUDFSerializer(ArrowStreamSerializer):` * `class SQLStringFormatter(string.Formatter):` * `class DayTimeIntervalType(AtomicType):` * `class DayTimeIntervalTypeConverter(object):` * `class ExecutorPodsPollingSnapshotSource(` * `class ExecutorPodsWatchSnapshotSource(` * `class ExecutorRollPlugin extends SparkPlugin ` * `class ExecutorRollDriverPlugin extends DriverPlugin with Logging ` * ` class AnsiCombinedTypeCoercionRule(rules: Seq[TypeCoercionRule]) extends` * `trait ExpressionBuilder ` * `case class RelationTimeTravel(` * `case class AsOfTimestamp(timestamp: Long) extends TimeTravelSpec` * `case class AsOfVersion(version: String) extends TimeTravelSpec` * ` class CombinedTypeCoercionRule(rules: Seq[TypeCoercionRule]) extends TypeCoercionRule ` * `case class ExpressionStats(expr: Expression)(var useCount: Int)` * `case class PrettyPythonUDF(` * `case class MapContainsKey(` * `case class TryElementAt(left: Expression, right: Expression, child: Expression)` * `case class ConvertTimezone(` * `case class AesEncrypt(` * `case class AesDecrypt(` * `trait PadExpressionBuilderBase extends ExpressionBuilder ` * `case class StringLPad(str: Expression, len: Expression, pad: Expression)` * `case class BinaryLPad(str: Expression, len: Expression, pad: Expression, child: Expression)` * `case class BinaryRPad(str: Expression, len: Expression, pad: Expression, child: Expression)` * `case class UnclosedCommentProcessor(` * `case class PythonMapInArrow(` * `case class CreateTable(` * `case class DropIndex(` * `case class TableSpec(` * `public class ColumnIOUtil ` * `case class OptimizeSkewedJoin(ensureRequirements: EnsureRequirements)` * `case class ParquetColumn(` * `case class DropIndexExec(` * `case class PushedDownOperators(` * `case class TableSampleInfo(` * `trait MapInBatchExec extends UnaryExecNode ` * `case class PythonMapInArrowExec(` * `class RatePerMicroBatchProvider extends SimpleTableProvider with DataSourceRegister ` * `class RatePerMicroBatchTable(` * `class RatePerMicroBatchStream(` * `case class RatePerMicroBatchStreamOffset(offset: Long, timestamp: Long) extends Offset ` * `case class RatePerMicroBatchStreamInputPartition(` * `class RatePerMicroBatchStreamPartitionReader(` * ` // When this is enabled, this class does additional lookup on write operations (put/delete) to` -- This is an automated message from the Apache Git Service. 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