Yanbo Liang created SPARK-18412:
-----------------------------------
Summary: SparkR spark.randomForest classification throws exception
when training on libsvm data
Key: SPARK-18412
URL: https://issues.apache.org/jira/browse/SPARK-18412
Project: Spark
Issue Type: Bug
Components: ML, SparkR
Reporter: Yanbo Liang
{{spark.randomForest}} classification throws exception when training on libsvm
data. It can be reproduced as following:
{code}
df <- read.df("data/mllib/sample_multiclass_classification_data.txt", source =
"libsvm")
model <- spark.randomForest(df, label ~ features, "classification")
{code}
The exception is:
{code}
16/11/11 02:16:40 ERROR RBackendHandler: fit on
org.apache.spark.ml.r.RandomForestClassifierWrapper failed
java.lang.reflect.InvocationTargetException
......
Caused by: java.lang.IllegalArgumentException: requirement failed: If label
column already exists, forceIndexLabel can not be set with true.
......
{code}
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