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https://issues.apache.org/jira/browse/SPARK-7536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544135#comment-14544135
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Joseph K. Bradley commented on SPARK-7536:
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[~yanboliang] Could you please add links to these Python API JIRAs you're
creating? Having JIRA links (rather than only links in the description above)
is very helpful for navigating tasks. Thank you!
> Audit MLlib Python API for 1.4
> ------------------------------
>
> Key: SPARK-7536
> URL: https://issues.apache.org/jira/browse/SPARK-7536
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Yanbo Liang
>
> For new public APIs added to MLlib, we need to check the generated HTML doc
> and compare the Scala & Python versions. We need to track:
> * Inconsistency: Do class/method/parameter names match?
> * Docs: Is the Python doc missing or just a stub? We want the Python doc to
> be as complete as the Scala doc.
> * Missing classes/methods/parameters: We should create to-do JIRAs for
> functionality missing from Python.
> ** classification
> *** StreamingLogisticRegressionWithSGD SPARK-7633
> ** clustering
> *** GaussianMixture SPARK-6258
> *** LDA SPARK-6259
> *** Power Iteration Clustering SPARK-5962
> *** StreamingKMeans SPARK-4118
> ** evaluation
> *** MultilabelMetrics SPARK-6094
> ** feature
> *** ElementwiseProduct SPARK-7605
> *** PCA SPARK-7604
> ** linalg
> *** Distributed linear algebra SPARK-6100
> ** pmml.export SPARK-7638
> ** regression
> *** StreamingLinearRegressionWithSGD SPARK-4127
> ** stat
> *** KernelDensity SPARK-7639
> ** util
> *** MLUtils SPARK-6263
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