predict.scala

  
private def getInputVector(rawVector:Seq[Float]): DMatrix = {
    val nRows = 1
    val nCols = rawVector.length
    val missingVal = Float.NaN
    new DMatrix(rawVector.toArray[Float], nRows, nCols, missingVal)
  }

def predict(recordID:String, features:Seq[Float]): (String, Float) = {
    val xgbInput = getInputVector(features)
    val result:Array[Array[Float]] = model.get.predict(xgbInput)
    val score:Float = result(0)(0)

    (recordID, score)
 }