[Kdn-users] Normalisation

Hi In the demo code, for example in: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/dem… A form of normalisation is applied: predictions = 0.54*preds + 0.37 This is consistent with the parse() function here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/cod… if k == 'delay': features[k] = (features[k] - 0.37) / 0.54 if k == 'traffic': features[k] = (features[k] - 0.17) / 0.13 if k == 'link_capacity': features[k] = (features[k] - 25.0) / 40.0 There is another case here: https://github.com/knowledgedefinednetworking/network-modeling-GNN/blob/mas… if k == 'delay': features[k] = (tf.math.log(features[k]) + 1.78) / 0.93 if k == 'traffic': features[k] = (features[k] - 0.28) / 0.15 if k == 'jitter': features[k] = (features[k] - 1.5) / 1.5 if k == 'link_capacity': features[k] = (features[k] - 27.0) / 14.86 if k == 'queue_sizes': features[k] = (features[k] - 16.5) / 15.5 What is the basis for this normalisation and those specific constants please? Why does the normalisation in routenet_with_link_cap and routenet_with_forwarding_nodes differ? Many thanks Nathan