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
> >
>
