[ https://issues.apache.org/jira/browse/SPARK-14299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org