import theano
from source.ann.layers import FullyConnected, Activation, ArgMax
from source.ann.core import LayeredModel
from source.ann.optimizers import SGD
print "compiling model..."
model = LayeredModel()
#model.add(FullyConnected(36,6, init='glorot_uniform', activation='tanh'))
model.add(FullyConnected(36, 2, init='glorot_uniform', activation='softmax'))
model.add(ArgMax())
sgd = SGD(lr=0.1, decay=0., momentum=0., nesterov=False)
model.compile(loss='zero_one_loss', optimizer=sgd)
print "compiling prediction function..."
_predict = theano.function([model.get_input()], model.get_output(),
allow_input_downcast=True)
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)
