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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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