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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/05/07 18:38:00 UTC

[jira] [Created] (SPARK-7443) MLlib 1.4 QA plan

Xiangrui Meng created SPARK-7443:
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             Summary: MLlib 1.4 QA plan
                 Key: SPARK-7443
                 URL: https://issues.apache.org/jira/browse/SPARK-7443
             Project: Spark
          Issue Type: Umbrella
          Components: ML, MLlib
    Affects Versions: 1.4.0
            Reporter: Xiangrui Meng
            Assignee: Xiangrui Meng
            Priority: Critical


TODO: create JIRAs for each task and assign them accordingly.

#API

* Check API compliance using java-compliance-checker

* Audit new public APIs (from the generated html doc)
** Scala (do not forget to check the object doc)
** Java compatibility
** Python API coverage

* audit Pipeline APIs
** feature transformers
** tree models
** elastic-net
** ML attributes
** developer APIs

* graduate spark.ml from alpha
** remove AlphaComponent annotations
** remove mima excludes for spark.ml

#Algorithms and performance

* online LDA
* ElasticNet
* Bernoulli naive Bayes
* PMML
** scoring using PMML evaluator vs. MLlib models
* ALS.recommendAll
* save/load
* perf-tests in Python

#Documentation

* create JIRAs for the user guide to each new algorithm and assign them to the corresponding author

* create example code for major components
** cross validation in python
** pipeline with complex feature transformations (scala/java/python)
** elastic-net (possibly with cross validation)



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