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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/11/10 23:34:33 UTC
[jira] [Updated] (SPARK-4047) Generate runtime warning for naive
implementation examples for algorithms implemented in MLlib/graphx
[ https://issues.apache.org/jira/browse/SPARK-4047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-4047:
---------------------------------
Assignee: Varadharajan
> Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx
> -----------------------------------------------------------------------------------------------------
>
> Key: SPARK-4047
> URL: https://issues.apache.org/jira/browse/SPARK-4047
> Project: Spark
> Issue Type: Improvement
> Components: Examples
> Affects Versions: 1.1.0
> Reporter: Varadharajan
> Assignee: Varadharajan
> Priority: Minor
> Labels: easyfix, newbie
> Fix For: 1.2.0
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx.
> 1. LocalALS
> 2. LocalFileLR
> 3. LocalKMeans
> 4. LocalLR
> 5. SparkALS
> 6. SparkHdfsLR
> 7. SparkKMeans
> 8. SparkLR
> 9. SparkPageRank (*)
> 10. SparkTachyonHdfsLR (*)
> Python examples:
> 1. ALS
> 2. kmeans
> 3. logistic_regression
> 4. pagerank (*)
> Java examples:
> 1. JavaHdfsLR (*)
> 2. JavaPageRank (*)
> (*) - Examples with missing runtime warnings.
> Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel
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