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[GitHub] [spark] SparkQA commented on pull request #34578: [SPARK-37300][CORE] TaskSchedulerImpl should ignore task finished eve…
SparkQA commented on pull request #34578: URL: https://github.com/apache/spark/pull/34578#issuecomment-991459709 **[Test build #146083 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/146083/testReport)** for PR 34578 at commit [`fa007be`](https://github.com/apache/spark/commit/fa007be2af6189f85518d89aa5269954fb3da6b9). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `public class JavaModuleOptions ` * `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 HistogramPlotBase(NumericPlotBase):` * `class KdePlotBase(NumericPlotBase):` * `class PandasSQLStringFormatter(string.Formatter):` * `new_class = type(NameTypeHolder.short_name, (NameTypeHolder,), ` * `class PandasAPIOnSparkAdviceWarning(Warning):` * `class UDFBasicProfiler(BasicProfiler):` * `class ResultIterable(Iterable[T]):` * `class CloudPickleSerializer(FramedSerializer):` * `class Database(NamedTuple):` * `class Table(NamedTuple):` * `class Column(NamedTuple):` * `class Function(NamedTuple):` * `class ArrowStreamUDFSerializer(ArrowStreamSerializer):` * `class OptionUtils(object):` * `class SQLStringFormatter(string.Formatter):` * `class DayTimeIntervalType(AtomicType):` * `class DayTimeIntervalTypeConverter(object):` * `class SparkUpgradeException(CapturedException):` * `class SparkJobInfo(NamedTuple):` *
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[GitHub] [spark] SparkQA commented on pull request #34578: [SPARK-37300][CORE] TaskSchedulerImpl should ignore task finished eve…
SparkQA commented on pull request #34578: URL: https://github.com/apache/spark/pull/34578#issuecomment-970502330 **[Test build #145285 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/145285/testReport)** for PR 34578 at commit [`d6f2cfd`](https://github.com/apache/spark/commit/d6f2cfde376298c51e28ed9c7df0cb9e3714a4dc). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
