print "getting data..."
df = pd.read_csv("data/kr-vs-kp.data.txt", header=None)
y = df.ix[:,36]
y = y.replace({'won' : '1'}).replace({'nowin' : '0'})
y = y.astype('float')
y = np.asarray(y)
df = df.replace({'f':'0', 't':'1', 'l':'0',
'g':'1', 'n':'0', 't':'1', 'w':'1', 'b':'2'})
X = np.array(df.ix[:,0:35], dtype=theano.config.floatX)
print y.shape
print X.shape
print y.__class__
print X.__class__
print "training model..."
for e in xrange(100):
if e % 10 == 0:
model.train(X, y, accuracy=False)
print model.params[0].get_value()
print "\n\n"
print y
