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From "Varadharajan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-4047) Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx
Date Fri, 24 Oct 2014 16:00:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-4047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Varadharajan updated SPARK-4047:
--------------------------------
    Description: 
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

  was: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.  PageRank implementation
is not generating the runtime warning. 

        Summary: Generate runtime warning for naive implementation examples for algorithms
implemented in MLlib/graphx  (was: Generate runtime warning for naive implementation of PageRank
example)

> 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
>            Priority: Minor
>              Labels: easyfix, newbie
>   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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