In [7]:

    

%matplotlib inline
import re
import numpy as np
import matplotlib.pyplot as plt


    

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data = np.load("../mss_data/seq2seq_results-0/loss.npy")
print data[-1]
sdx = len(data)-3000
edx = len(data)
x = range(sdx, edx)
y = (data[sdx:edx, 2]+data[sdx:edx, 3]+data[sdx:edx, 4])/3.0
plt.plot(x, y)
print np.average(y)


    

    




[  3.40000000e+01   1.60000000e+04   2.02884746e+00   1.83707571e+00
   2.79879498e+00   2.52319322e+01]
2.25964674135






    

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