mlampros / elmnnrcpp Goto Github PK

documentation issue: it says "normal_gaussian" weights are (0,1) but they are gaussian normal negative/positive

Hi,

thank you for developing this amazing library.
I was wandering if you have any plan to implement OSELM or (even better) ORELM?

Best wishes

If using "uniform_negative", the random seed has no effect so you always get the same weights if the input length and nhid values are the same. Looks like this is because you are using Mersenne twister random engine for those and seed isn't affecting it. (Maybe just rescale uniform to -1,+1?)

When I run the below command, I found this error

predictions= []
target= []
for i in range(numLags, len(df)-predictionStep-1):
  net.train(X[[i], :], T[[i], :])
  Y = net.predict(X[[i+1], :])
  predictions.append(Y[0][0])
  target.append(T[i][0])
print ("{:5}th timeStep -  target: {:8.4f}  |   prediction: {:8.4f} ").format(i, target[-1], predictions[-1])