def testModelSelect(self):
m = 50
n = 20
k = 5
u = 0.1
w = 1-u
X = SparseUtils.generateSparseBinaryMatrix((m, n), k, w)
lmbda = 0.1
gamma = 0.01
learner = CLiMF(k, lmbda, gamma)
learner.max_iters = 10
learner.modelSelect(X)
def testLearnModel(self):
m = 50
n = 20
k = 5
u = 0.1
w = 1-u
X = SparseUtils.generateSparseBinaryMatrix((m, n), k, w)
lmbda = 0.1
gamma = 0.01
learner = CLiMF(k, lmbda, gamma)
learner.max_iters = 50
learner.learnModel(X)
Z = learner.predict(n)
#Bit weird that all rows are the same
print(Z)
