Hi, I am new to the MLlib in Spark. Can the DecisionTree model in MLlib deal with missing values? If so, what data structure should I use for the input?
Moreover, my data has categorical features, but the LabeledPoint requires "double" data type, in this case what can I do? Thank you very much. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Does-DecisionTree-model-in-MLlib-deal-with-missing-values-tp21080.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
