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Posted to issues@spark.apache.org by "Huaxin Gao (Jira)" <ji...@apache.org> on 2020/03/06 00:03:00 UTC

[jira] [Commented] (SPARK-30930) ML, GraphX 3.0 QA: API: Experimental, DeveloperApi, final, sealed audit

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

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.



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