     //  train Neural Network for the misc action dataset
     func trainNNMisc(nnet: NeuralNet, structure: NeuralNet.Structure, dataSet: [[[Float]]], actLog: [String], errorThreshold: Float, nnInputNum: Int, bootTrainDataNum: Int, bootTestDataNum: Int, testStartPt: Int, bootStepSize: Int, ptsPerData: Int, rowNum: Int){
         
+        self.currentAppStatus.text = "Training NeuralNet"
+        
+        print(actLog)
+        
         //Create the output train and test answers
         var tmpTrainAns = [[Float]]()
         var tmpTestAns = [[Float]]()

    let updateInterval = 0.01
    let dataLogTime = 10.0 //seconds
    let systemSoundID: SystemSoundID = 1052
    let errorThreshold: Float = 0.004
    var rowNum:Int = 0
    var timer = Timer()
    var counter = 0

                structure: structure)
            try nnet.train(nnDataSet, errorThreshold: errorThreshold)
            //print(nnet.allWeights())
            self.currentAppStatus.text = "Training Complete"
        } catch {print(error)}
        
    }
