README.md (483B)
1 # ML Trust Model 2 A centralised trust model that uses either a neural network or kernel machine 3 to figure out the trust of the nodes. 4 5 ## Installation 6 ``` 7 pip3 install -r requirements.txt 8 ``` 9 10 ## Running 11 To run every using an ANN as the predictor: 12 ``` 13 python3 TrustModel.py 14 ``` 15 16 Running `python3 TrustModel.py -h` will give a help menu with the available options, 17 when the ANN is training you may run `tensorboard --logdir ./logs` to get a live graph 18 of the error curve and accuracy.