The doc is for 0.9.1. You are running a later snapshot, which added
sparse vectors. Try LabeledPoint(parts(0).toDouble,
Vectors.dense(parts(1).split(' ').map(x => x.toDouble)). The examples
are updated in the master branch. You can also check the examples
there. -XiangruiOn Wed, Apr 23, 2014 at 9:34 AM, Mohit Jaggi <mohitja...@gmail.com> wrote: > > sorry...added a subject now > > On Wed, Apr 23, 2014 at 9:32 AM, Mohit Jaggi <mohitja...@gmail.com> wrote: >> >> I am trying to run the example linear regression code from >> >> http://spark.apache.org/docs/latest/mllib-guide.html >> >> But I am getting the following error...am I missing an import? >> >> ----code---- >> >> import org.apache.spark._ >> >> import org.apache.spark.mllib.regression.LinearRegressionWithSGD >> >> import org.apache.spark.mllib.regression.LabeledPoint >> >> >> object ModelLR { >> >> def main(args: Array[String]) { >> >> val sc = new SparkContext(args(0), "SparkLR", >> >> System.getenv("SPARK_HOME"), >> SparkContext.jarOfClass(this.getClass).toSeq) >> >> // Load and parse the data >> >> val data = sc.textFile("mllib/data/ridge-data/lpsa.data") >> >> val parsedData = data.map { line => >> >> val parts = line.split(',') >> >> LabeledPoint(parts(0).toDouble, parts(1).split(' ').map(x => >> x.toDouble).toArray) >> >> } >> >> ...<snip>... >> >> } >> >> ----error---- >> >> - polymorphic expression cannot be instantiated to expected type; found : >> [U >: Double]Array[U] required: >> >> org.apache.spark.mllib.linalg.Vector >> >> - polymorphic expression cannot be instantiated to expected type; found : >> [U >: Double]Array[U] required: >> >> org.apache.spark.mllib.linalg.Vector > >
