Esempio n. 1
0
 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)
Esempio n. 2
0
 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)