def learn_scoal_wrapper(**argv):
Z, W, rowAttr, colAttr, crossAttr, learner, params, \
train_loss, test_loss, \
num_cv, init_K, init_L, model_filename = read_options(**argv)
Z = Z.tocsr()
W = W.tocsr()
param = params[0]
I,J= sp.find(W)[:2]
num_data = len(I)
model = GeneralScoalModel()
model.set_attributes(rowAttr, colAttr, crossAttr)
#learn_scoal(model, Z, W, K, L, learner, param, train_loss, test_loss)
model.save(model_filename)
