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https://issues.apache.org/jira/browse/SPARK-23211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16338894#comment-16338894
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黄龙龙 commented on SPARK-23211:
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I want to konw the usage of parameter newData in spark.randomForest
{SparkR} and more details of it. Thanks.
[SparkR Document|http://spark.apache.org/docs/latest/api/R/index.html]
> SparkR MLlib randomFroest parameter problem
> --------------------------------------------
>
> Key: SPARK-23211
> URL: https://issues.apache.org/jira/browse/SPARK-23211
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.1.0
> Environment: {code:R}
> sdf_list <- randomSplit(train_data, rep(7, 3), 10086)
> model <- spark.randomForest(
> sdf_list[[1]],
> forward_count ~ .,
> type = "regression",
> path = paste0("./predict/model/randomForest_", x),
> overwrite = TRUE,
> newData = sdf_list[[2]])
> {code}
> train_data is a SparkDataFrame
> The notes of parameter newData is "a SparkDataFrame for testing."
> The notes of parameter path is "The directory where the model is saved."
> These all don't work normaly.
> why?
> Reporter: 黄龙龙
> Priority: Major
> Labels: documentation, usability
>
> spark.randomForest() and randomSplit() problem
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