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