import mlp import commonMLP import matplotlib.pylab as plt # plot the graph of sum of squared errors vs epoch def plotSqErr(epochSqErr): epoch = epochSqErr.keys() sqerr = epochSqErr.values() plt.plot(epoch, sqerr, 'b-') plt.xlabel('Epochs') plt.ylabel('Sum of Squared Error') plt.show() # main if __name__ == "__main__": if(len(sys.argv) != 2): print "Usage: python trainMLP.py <datafile>" exit(-1) datafile = sys.argv[1] # read dataset (ins, outs) = commonMLP.readDataset(datafile) # create MLP object myMlp = mlp.MLP(2, 5, 4, commonMLP.sigmoid, commonMLP.dSigmoid) # train MLP epochSqErr = myMlp.train(ins, outs, datafile) # plot plotSqErr(epochSqErr)
plt.title('Distribution of input dataset') plt.show() # main if __name__ == "__main__": if (len(sys.argv) != 3): print "Usage: python execMLP.py <weightfile> <datafile>" exit(-1) wtfile = sys.argv[1] datafile = sys.argv[2] # testfile = sys.argv[2] (insData, outsData) = commonMLP.readDataset(datafile) # (insTest, outsTest) = commonMLP.readDataset(testfile) emlp = mlp.MLP(2, 5, 4, commonMLP.sigmoid, commonMLP.dSigmoid) # for i in range(0, len(commonMLP.save_at)): # for i in range(0, 1): # wtfile2 = wtfile + str(commonMLP.save_at[i]) # load weights from file and assign to MLP emlp.assignWts(wtfile) # print (str(i+1) + ")"), # print "After", str(commonMLP.save_at[i]), "epochs:\n" # print statistics
plt.title("Distribution of input dataset") plt.show() # main if __name__ == "__main__": if len(sys.argv) != 3: print "Usage: python execMLP.py <weightfile> <datafile>" exit(-1) wtfile = sys.argv[1] datafile = sys.argv[2] # testfile = sys.argv[2] (insData, outsData) = commonMLP.readDataset(datafile) # (insTest, outsTest) = commonMLP.readDataset(testfile) emlp = mlp.MLP(2, 5, 4, commonMLP.sigmoid, commonMLP.dSigmoid) # for i in range(0, len(commonMLP.save_at)): # for i in range(0, 1): # wtfile2 = wtfile + str(commonMLP.save_at[i]) # load weights from file and assign to MLP emlp.assignWts(wtfile) # print (str(i+1) + ")"), # print "After", str(commonMLP.save_at[i]), "epochs:\n" # print statistics