Thanks Xiangrui, Matei and Arpit. It does work fine after adding Vector.dense. I have a follow up question, I will post on a new thread.
On Thu, Apr 24, 2014 at 2:49 AM, Arpit Tak <arpi...@sigmoidanalytics.com>wrote: > Also try out these examples, all of them works.... > > http://docs.sigmoidanalytics.com/index.php/MLlib > > if you spot any problems in those, let us know. > > Regards, > arpit > > > On Wed, Apr 23, 2014 at 11:08 PM, Matei Zaharia > <matei.zaha...@gmail.com>wrote: > >> See http://people.csail.mit.edu/matei/spark-unified-docs/ for a more >> recent build of the docs; if you spot any problems in those, let us know. >> >> Matei >> >> On Apr 23, 2014, at 9:49 AM, Xiangrui Meng <men...@gmail.com> wrote: >> >> > 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. -Xiangrui >> > >> > On 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 >> >> >> >> >> >> >
