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https://issues.apache.org/jira/browse/SPARK-18319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15668892#comment-15668892
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yuhao yang commented on SPARK-18319:
------------------------------------
sealed:
org.apache.spark.ml.linalg.Matrix
org.apache.spark.ml.linalg.Vector
org.apache.spark.ml.attribute.Attribute
org.apache.spark.ml.attribute.AttributeType
org.apache.spark.ml.classification.LogisticRegressionTrainingSummary
org.apache.spark.ml.classification.LogisticRegressionSummary
org.apache.spark.ml.clustering.LDAModel
org.apache.spark.ml.feature.Term
org.apache.spark.ml.feature.InteractableTerm
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.mllib.clustering.LDAOptimizer
org.apache.spark.mllib.linalg.Matrix
org.apache.spark.mllib.linalg.Vector
org.apache.spark.mllib.stat.test.StreamingTestMethod
org.apache.spark.mllib.tree.model.TreeEnsembleModel
I think Vector, Matrix, LDAModel, LDAOptimizer can be opened up to allow
extension in Spark Package, such like HashVector and Gibbs Sampling LDA.
> ML, Graph 2.1 QA: API: Experimental, DeveloperApi, final, sealed audit
> ----------------------------------------------------------------------
>
> Key: SPARK-18319
> URL: https://issues.apache.org/jira/browse/SPARK-18319
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, GraphX, ML, MLlib
> Reporter: Joseph K. Bradley
> Priority: Blocker
>
> 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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