I've copy pasted your code to an example and it compiles fine. Are you sure
your project imports are done correctly?
Here's the sbt file I'm using:
resolvers in ThisBuild ++= Seq("Apache Development Snapshot
Repository" at "https://repository.apache.org/content/repositories/snapshots/";,
Resolver.mavenLocal)
name := "Flink Project"
version := "0.1-SNAPSHOT"
organization := "org.example"
scalaVersion in ThisBuild := "2.11.7"
val flinkVersion = "1.1.0"
val flinkDependencies = Seq(
"org.apache.flink" %% "flink-scala" % flinkVersion % "provided",
"org.apache.flink" %% "flink-streaming-scala" % flinkVersion % "provided",
"org.apache.flink" %% "flink-ml" % flinkVersion % "provided")
lazy val root = (project in file(".")).
settings(
libraryDependencies ++= flinkDependencies
)
It comes from Till's Flink Quickstart project
<https://github.com/tillrohrmann/flink-project>.
The RichExecutionEnvironment comes from the import org.apache.flink.ml._
import.
On Thu, Oct 20, 2016 at 7:07 PM, Thomas FOURNIER <
thomasfournier...@gmail.com> wrote:
> Yep I've done it: import org.apache.flink.api.scala._
>
> I had reported this issue but still have the same problem.
>
> My code is the following (with imports)
>
> import org.apache.flink.api.scala._
> import org.apache.flink.ml._
>
> import org.apache.flink.ml.classification.SVM
> import org.apache.flink.ml.common.LabeledVector
> import org.apache.flink.ml.math.DenseVector
> import org.apache.flink.ml.math.Vector
>
> object App {
>
> def main(args: Array[String]) {
>
> val env = ExecutionEnvironment.getExecutionEnvironment
> val survival = env.readCsvFile[(String, String, String,
> String)]("src/main/resources/haberman.data", ",")
>
>
> val survivalLV = survival
> .map { tuple =>
> val list = tuple.productIterator.toList
> val numList = list.map(_.asInstanceOf[String].toDouble)
> LabeledVector(numList(3), DenseVector(numList.take(3).toArray))
> }
>
>
>
> val astroTrain: DataSet[LabeledVector] =
> MLUtils.readLibSVM(env,"src/main/resources/svmguide1")
>
> val astroTest: DataSet[(Vector, Double)] = MLUtils
> .readLibSVM(env, "src/main/resources/svmguide1.t")
> .map(l => (l.vector, l.label))
>
> val svm = SVM()
> .setBlocks(env.getParallelism)
> .setIterations(100)
> .setRegularization(0.001)
> .setStepsize(0.1)
> .setSeed(42)
>
> svm.fit(astroTrain)
> println(svm.toString)
>
>
> val predictionPairs = svm.evaluate(astroTest)
> predictionPairs.print()
>
> }
> }
>
>
>
> And I can't write:
>
> MLUtils.readLibSVM("src/main/resources/svmguide1")
>
>
>
>
>
>
>
> 2016-10-20 16:26 GMT+02:00 Theodore Vasiloudis <
> theodoros.vasilou...@gmail.com>:
>
> > This has to do with not doing a wildcard import of the Scala api, it was
> > reported and already fixed on master [1]
> >
> > [1]
> > http://apache-flink-mailing-list-archive.1008284.n3.
> > nabble.com/jira-Created-FLINK-4792-Update-documentation-
> > QuickStart-FlinkML-td13936.html
> >
> > --
> > Sent from a mobile device. May contain autocorrect errors.
> >
> > On Oct 20, 2016 2:06 PM, "Thomas FOURNIER" <thomasfournier...@gmail.com>
> > wrote:
> >
> > > Hello,
> > >
> > > Following QuickStart guide in FlinkML, I have to do the following:
> > >
> > > val astroTrain:DataSet[LabeledVector] = MLUtils.readLibSVM(env,
> > > "src/main/resources/svmguide1")
> > >
> > > Instead of:
> > >
> > > val astroTrain:DataSet[LabeledVector] = MLUtils.readLibSVM(
> > > "src/main/resources/svmguide1")
> > >
> > >
> > > Nonetheless, this implicit class in ml/packages
> > >
> > > implicit class RichExecutionEnvironment(executionEnvironment:
> > > ExecutionEnvironment) {
> > > def readLibSVM(path: String): DataSet[LabeledVector] = {
> > > MLUtils.readLibSVM(executionEnvironment, path)
> > > }
> > > }
> > >
> > >
> > > is supposed to pimp MLUtils in the way we want.
> > >
> > > Does it mean that RichExecutionEnvironment is not imported in the
> scope ?
> > > What can be done to solve this ?
> > >
> > >
> > > Thanks
> > >
> > > Regards
> > > Thomas
> > >
> >
>
