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https://issues.apache.org/jira/browse/SPARK-18319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15669027#comment-15669027
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yuhao yang commented on SPARK-18319:
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Experimental classes in ml:

*probably ready to be unmarked:*
org.apache.spark.ml.classification.MultilayerPerceptronClassifier
org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel
org.apache.spark.ml.clustering.GaussianMixtureModel, Model
org.apache.spark.ml.clustering.BisectingKMeans, Model
org.apache.spark.ml.clustering.KMeans, Model
org.apache.spark.ml.clustering.LDA, Model
org.apache.spark.ml.feature.MaxAbsScaler

*To be discussed: training summary, evaluator, new features, regression, 
Writer/Readers:*
org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary
org.apache.spark.ml.classification.BinaryLogisticRegressionSummary
org.apache.spark.ml.clustering.ClusteringSummary
org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
org.apache.spark.ml.evaluation.RegressionEvaluator
org.apache.spark.ml.feature.LabeledPoint
org.apache.spark.ml.feature.MinHashModel
org.apache.spark.ml.feature.RandomProjectionModel
org.apache.spark.ml.feature.RFormula
org.apache.spark.ml.regression.AFTSurvivalRegression
org.apache.spark.ml.regression.GeneralizedLinearRegression
org.apache.spark.ml.regression.LinearRegressionTrainingSummary
org.apache.spark.ml.util.MLWriter, Reader (able)







> 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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