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Huaxin Gao commented on SPARK-30930: ------------------------------------ Sealed and Experimental are as following. I don't think we need to do anything about these. sealed: org.apache.spark.ml.attribute.events.MLEvent org.apache.spark.ml.attribute.Attribute org.apache.spark.ml.attribute.AttributeType org.apache.spark.ml.classification.LogisticRegressionTrainingSummary org.apache.spark.ml.classification.BinaryLogisticRegressionSummary org.apache.spark.ml.classification.LogisticRegressionTrainingSummary org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary org.apache.spark.ml.feature.Term org.apache.spark.ml.feature.InteractableTerm org.apache.spark.ml.optim.WeightedLeastSquares.Solver org.apache.spark.ml.optim.NormalEquationSolver org.apache.spark.ml.tree.Node org.apache.spark.ml.tree.Split org.apache.spark.ml.util.BaseReadWrite org.apache.spark.ml.stat.SummaryBuilder org.apache.spark.ml.stat.SummaryBuilderImpl.Metric org.apache.spark.ml.stat.SummaryBuilderImpl.ComputeMetric Experimental classes: org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator org.apache.spark.ml.evaluation.RankingEvaluator org.apache.spark.ml.MLEvent // Experimental marked in @note This is experimental and unstable. Do we need to use @Experimental? Experimental methods: org.apache.spark.ml.feature.LSH.approxNearestNeighbors > ML, GraphX 3.0 QA: API: Experimental, DeveloperApi, final, sealed audit > ----------------------------------------------------------------------- > > Key: SPARK-30930 > URL: https://issues.apache.org/jira/browse/SPARK-30930 > Project: Spark > Issue Type: Sub-task > Components: Documentation, GraphX, ML, MLlib > Affects Versions: 3.0.0 > Reporter: zhengruifeng > Priority: Critical > > We should make a pass through the items marked as Experimental or > DeveloperApi and see if any are stable enough to be unmarked. > We should also check for items marked final or sealed to see if they are > stable enough to be opened up as APIs. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org