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https://issues.apache.org/jira/browse/SPARK-14299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14299.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12366
[https://github.com/apache/spark/pull/12366]
> Scala ML examples code merge and clean up
> -----------------------------------------
>
> Key: SPARK-14299
> URL: https://issues.apache.org/jira/browse/SPARK-14299
> Project: Spark
> Issue Type: Sub-task
> Components: Examples
> Reporter: Xusen Yin
> Priority: Minor
> Labels: starter
> Fix For: 2.0.0
>
>
> Duplicated code that I found in scala/examples/ml:
> * scala/ml
> ** CrossValidatorExample.scala --> ModelSelectionViaCrossValidationExample
> ** TrainValidationSplitExample.scala -->
> ModelSelectionViaTrainValidationSplitExample
> ** DeveloperApiExample.scala --> I delete it for now because it's only about
> how to create your own classifieri, etc, which can be learned easily from
> other examples and ml codes.
> ** SimpleParamsExample.scala --> merge with
> LogisticRegressionSummaryExample.scala
> ** SimpleTextClassificationPipeline.scala -->
> ModelSelectionViaCrossValidationExample
> ** DataFrameExample.scala --> merge with
> LogisticRegressionSummaryExample.scala
> * Intend to reserve with command-line support:
> ** DecisionTreeExample.scala --> DecisionTreeRegressionExample,
> DecisionTreeClassificationExample
> ** GBTExample.scala --> GradientBoostedTreeClassifierExample,
> GradientBoostedTreeRegressorExample
> ** LinearRegressionExample.scala --> LinearRegressionWithElasticNetExample
> ** LogisticRegressionExample.scala -->
> LogisticRegressionWithElasticNetExample, LogisticRegressionSummaryExample
> ** RandomForestExample.scala --> RandomForestRegressorExample,
> RandomForestClassifierExample
> When merging and cleaning those code, be sure not disturb the previous
> example on and off blocks.
> I'll take this one as an example.
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