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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/12/02 02:24:11 UTC
[jira] [Assigned] (SPARK-11937) Python API coverage check found
issues for ML during 1.6 QA
[ https://issues.apache.org/jira/browse/SPARK-11937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-11937:
------------------------------------
Assignee: Apache Spark
> Python API coverage check found issues for ML during 1.6 QA
> -----------------------------------------------------------
>
> Key: SPARK-11937
> URL: https://issues.apache.org/jira/browse/SPARK-11937
> Project: Spark
> Issue Type: Umbrella
> Components: Documentation, ML, MLlib, PySpark
> Reporter: Yanbo Liang
> Assignee: Apache Spark
>
> Here is the todo list of SPARK-11604 found issues:
> Note: I did not list the SparkR related features (such as ml.feature.Interaction). We have supported RFormula as a wrapper at Python side, I think we should discuss the necessary to support other R related features at Python side.
> * Missing classes
> ** ml.attribute SPARK-8516
> ** ml.feature
> *** QuantileDiscretizer SPARK-11922
> *** ChiSqSelector SPARK-11923
> ** ml.classification
> *** OneVsRest SPARK-7861
> ** ml.clustering
> *** LDA SPARK-11940
> ** mllib.clustering
> *** BisectingKMeans SPARK-11944
> * Missing methods/parameters SPARK-11938
> ** ml.classification SPARK-11815 SPARK-11820
> ** ml.feature SPARK-11925
> ** ml.clustering SPARK-11945
> ** mllib.linalg SPARK-12040 SPARK-12041
> ** mllib.stat.test.StreamingTest SPARK-12042
> * Docs:
> ** ml.classification SPARK-11875
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