anchor.diff:  Test expects a sequence of lines where line represeted as an array of words.
   You could use helper streamToLines
   *)
  -let testData = Input.FilePath("D:/ft/data/dbpedia.test")
  +let testData = Input.FilePath("./data/dbpedia.test")
   let r = Classifier.test(state, 1, FileReader.streamToLines testData)
   printfn "%A" r
   assert(r.precision >= 9.8f) 
  
positive.code: #r "NFastText.dll"
  open NFastText
  open NFastText.FileReader
  let trainData = Input.FilePath("D:/ft/data/dbpedia.train")
  //we train our classifier in 4 threads, using 2 wordgrams and default model args, verbosive, without pretrained vectors and with label prefix "__label__"
  let state = Classifier.train(trainData, 4, Classifier.args, 2uy, "__label__", true, None)
  
  
negative.code: Predict expects a sequence of lines where line represeted as an array of words.
  It returns a sequence of lists where every list contains k best predictions(labels) with weights. 
  *)
  let testData = Input.FilePath("./data/dbpedia.test")
  let k = 1
  let r = Classifier.predict(state, k, FileReader.streamToLines testData)
  let r =  r |> Seq.head
  