0

I am using Knime and I've created a Neural Network using MLP (MultiLayer Perceptron). It works fine. You may ignore all the yellow nodes as all they do is reformat the data sheet.

enter image description here

This works, but I would like to incorporate Cross Validation into the mix. There is a lack of working examples and so I am struggling. I am looking at X-Partitioner and X-Aggregator nodes but I have no idea how to use them in my network.

Can someone help me out?

Has QUIT--Anony-Mousse
  • 76,138
  • 12
  • 138
  • 194
buydadip
  • 8,890
  • 22
  • 79
  • 154
  • There is an example with SVM Learner/Predictor in the public example server: `04_Analytics`/`11_Optimization`/`01_Cross_Validation_with_SVM` That should be a good starting point, but you should read the `X-Partitioner`, `X-Aggregator` node documentation too. – Gábor Bakos Oct 11 '17 at 05:50

1 Answers1

3

The answer was quite simple. X-partitioner node basically replaces the Partitioner node. The X-Aggregator node is placed after the MLP Predictor. The X-Aggregator node is in charge of looping the neural network.

enter image description here

buydadip
  • 8,890
  • 22
  • 79
  • 154