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https://issues.apache.org/jira/browse/SPARK-30930?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17052606#comment-17052606
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Huaxin Gao commented on SPARK-30930:
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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.
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