def run():
#Get Parameter
data = param.parameter(15,15,5)
data.get_sample()
#Get SVD_Data
MF = sgd.SGD(0.001,0.0001)
MF.iteration(data,2000)
#Outuout Result
MF.re(data)
def run():
#Get Parameter
data = param.parameter(15, 15, 5)
data.get_sample()
#Get SVD_Data
MF = sgd.SGD(0.001, 0.0001)
MF.iteration(data, 2000)
#Outuout Result
MF.re(data)
import param
class ubcf:
def usersim(self, data, x, y):
return 1 - scipy.spatial.distance.cosine(x, y)
def recommend_calc(self, data):
for u, i in data.Matrix.items():
for item, rate in data.Matrix[u].items():
print rate
if __name__ == "__main__":
data = param.parameter(5, 5)
data.get_sample()
print data.Matrix
def display(data):
print "Mode1:U(1)"
print data.Mode1Matrix
print
print "Mode2:U(2)"
print data.Mode2Matrix
print
print "Mode3:U(3)"
print data.Mode3Matrix
print
def run(data):
data.get_sample()
tf = tensor.HOSVD()
for mode in range(1, 4):
tf.unfolding(data, mode)
display(data)
print "CoreTensor:"
tf.core_calc(data)
data.tensor_display(data.coreTensor)
if __name__ == "__main__":
start = time.time()
data = param.parameter(5, 4, 3)
run(data)
Run_time = time.time() - start
print "Run_time:" + str(Run_time)
def __init__(self):
QWidget.__init__(self)
self.setWindowTitle("Chess")
self.param = parameter()
self.initUI()
import param
class ubcf:
def usersim(self,data,x,y):
return 1 - scipy.spatial.distance.cosine(x,y)
def recommend_calc(self,data):
for u,i in data.Matrix.items():
for item,rate in data.Matrix[u].items():
print rate
if __name__=="__main__":
data = param.parameter(5,5)
data.get_sample()
print data.Matrix
def __init__(self, block, blocks):
self.block = block
self.blocks = blocks
self.param = parameter()