Re: spark 1.5, ML Pipeline Decision Tree Dataframe Problem

Thanks, I try to make but i can't. JavaPairRDD unlabeledTest, the vector is Dence vector. I add import org.apache.spark.sql.SQLContext.implicits$ but there is no method toDf(), I am using Java not Scala. 2015-09-18 20:02 GMT+03:00 Feynman Liang : > What

spark 1.5, ML Pipeline Decision Tree Dataframe Problem

Hi, I am using *spark 1.5, ML Pipeline Decision Tree * to get tree's probability. But I have to convert my data to Dataframe type. While creating model there is no problem but when I am using model on my data there is a

Re: spark 1.5, ML Pipeline Decision Tree Dataframe Problem

What is the type of unlabeledTest? SQL should be using the VectorUDT we've defined for Vectors so you should be able to just "import sqlContext.implicits._" and then call