Hi, I'm having a couple of issues. I'm experiencing a known issue <https://issues.apache.org/jira/browse/SPARK-1199> on the spark-shell where I'm getting a type mismatch for the right class
<console>:82: error: type mismatch; found : org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[org.apache.spark.mllib.regression.LabeledPoint] required: org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[org.apache.spark.mllib.regression.LabeledPoint] I was wondering if anyone has found a way around this? I was trying to dump my RDD into a brand new RDD, and each element of the LabeledPoint into a new one, just in case there was the internal class causing the problem however I can't seem to be able to access the vectors inside my LabeledPoint. in the process of generating my RDD I did used Java Maps and converted them back to scala Any advice on how to remap this LabelPoint? tfidfs.take(1) res143: Array[org.apache.spark.mllib.regression.LabeledPoint] = Array((143.0,(7175,[2738,4134,4756,6354,6424],[492.63076923076926,11.060794473229707,2.7010544074230283,57.69549549549549,76.2404761904762]))) tfidfs.take(1)(0).label res144: Double = 143.0 tfidfs.take(1)(0).features res145: org.apache.spark.mllib.linalg.Vector = (7175,[2738,4134,4756,6354,6424],[492.63076923076926,11.060794473229707,2.7010544074230283,57.69549549549549,76.2404761904762]) tfidfs.take(1)(0).features(0) res146: Double = 0.0 tfidfs.take(1)(0).features(1) res147: Double = 0.0 tfidfs.take(1)(0).features(2) res148: Double = 0.0
