SparkQA commented on issue #25834: [WIP][SPARK-29155][SQL] Support special date/timestamp values in the PostgreSQL dialect only URL: https://github.com/apache/spark/pull/25834#issuecomment-533879620 **[Test build #111149 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/111149/testReport)** for PR 25834 at commit [`3227968`](https://github.com/apache/spark/commit/32279681d16f23f379b80423ebdd1d1f253caac7). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class JavaClassifierParams(HasRawPredictionCol, JavaPredictorParams):` * `class JavaClassifier(JavaPredictor, JavaClassifierParams):` * `class JavaClassificationModel(JavaPredictionModel, JavaClassifierParams):` * `class JavaProbabilisticClassifierParams(HasProbabilityCol, HasThresholds, JavaClassifierParams):` * `class JavaProbabilisticClassifier(JavaClassifier, JavaProbabilisticClassifierParams):` * `class JavaProbabilisticClassificationModel(JavaClassificationModel,` * `class LinearSVC(JavaClassifier, HasMaxIter, HasRegParam, HasTol,` * `class LinearSVCModel(JavaClassificationModel, JavaMLWritable, JavaMLReadable):` * `class LogisticRegression(JavaProbabilisticClassifier, HasMaxIter, HasRegParam, HasTol,` * `class LogisticRegressionModel(JavaProbabilisticClassificationModel, JavaMLWritable, JavaMLReadable,` * `class DecisionTreeClassifier(JavaProbabilisticClassifier, HasWeightCol,` * `class DecisionTreeClassificationModel(DecisionTreeModel, JavaProbabilisticClassificationModel,` * `class RandomForestClassifier(JavaProbabilisticClassifier, HasSeed, RandomForestParams,` * `class RandomForestClassificationModel(TreeEnsembleModel, JavaProbabilisticClassificationModel,` * `class GBTClassifier(JavaProbabilisticClassifier, GBTClassifierParams, HasCheckpointInterval,` * `class GBTClassificationModel(TreeEnsembleModel, JavaProbabilisticClassificationModel,` * `class NaiveBayes(JavaProbabilisticClassifier, HasThresholds, HasWeightCol,` * `class NaiveBayesModel(JavaProbabilisticClassificationModel, JavaMLWritable, JavaMLReadable):` * `class MultilayerPerceptronClassifier(JavaProbabilisticClassifier, HasMaxIter, HasTol, HasSeed,` * `class MultilayerPerceptronClassificationModel(JavaProbabilisticClassificationModel, JavaMLWritable,` * `class OneVsRestParams(JavaClassifierParams, HasWeightCol):` * `class LinearRegression(JavaPredictor, HasMaxIter, HasRegParam, HasTol, HasElasticNetParam,` * `class LinearRegressionModel(JavaPredictionModel, GeneralJavaMLWritable, JavaMLReadable,` * `class IsotonicRegression(JavaPredictor, HasWeightCol, JavaMLWritable, JavaMLReadable):` * `class IsotonicRegressionModel(JavaPredictionModel, JavaMLWritable, JavaMLReadable):` * `class DecisionTreeRegressor(JavaPredictor, HasWeightCol, DecisionTreeParams, TreeRegressorParams,` * `class DecisionTreeModel(JavaPredictionModel):` * `class RandomForestRegressor(JavaPredictor, HasSeed, RandomForestParams, TreeRegressorParams,` * `class GBTRegressor(JavaPredictor, GBTRegressorParams, HasCheckpointInterval, HasSeed,` * `class AFTSurvivalRegression(JavaPredictor, HasFitIntercept, HasMaxIter, HasTol,` * `class AFTSurvivalRegressionModel(JavaPredictionModel, JavaMLWritable, JavaMLReadable):` * `class GeneralizedLinearRegression(JavaPredictor, HasFitIntercept, HasMaxIter, HasTol, HasRegParam,` * `class GeneralizedLinearRegressionModel(JavaPredictionModel, JavaMLWritable,` * `class JavaPredictorParams(HasLabelCol, HasFeaturesCol, HasPredictionCol):` * `class JavaPredictor(JavaEstimator, JavaPredictorParams):` * `class JavaPredictionModel(JavaModel, JavaPredictorParams):` * `abstract class PartitionTransformExpression extends Expression with Unevaluable ` * `case class Years(child: Expression) extends PartitionTransformExpression ` * `case class Months(child: Expression) extends PartitionTransformExpression ` * `case class Days(child: Expression) extends PartitionTransformExpression ` * `case class Hours(child: Expression) extends PartitionTransformExpression ` * `case class Bucket(numBuckets: Literal, child: Expression) extends PartitionTransformExpression ` * ` implicit class OptionsHelper(options: Map[String, String]) ` * `trait WriteConfigMethods[R] ` * `trait CreateTableWriter[T] extends WriteConfigMethods[CreateTableWriter[T]] `
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