黄龙龙 created SPARK-23211:
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Summary: 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
spark.randomForest() and randomSplit() problem
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