def do_cv():
# Load the user vectors.
data = utility.load_vectors()
outfile_string = "baseline_slice" + str(config.num_slices) \
+ "_rec" + str(config.tuning_param['num_recs']) + ".txt"
rates = list()
st = state('Item Based', rates, outfile_string, "INFO", config.num_slices, config.tuning_param['num_recs'])
for i in xrange(st.num_slices):
st.cur_slice += 1
train, test = utility.get_data_split(data, i)
success = do_most_popular(train, test)
st.rates = (success, len(test))
return st
def do_cv():
# Load the user vectors.
data = utility.load_vectors()
outfile_string = "user_slice" + str(config.num_slices) + "_rec" \
+ str(config.tuning_param['num_recs']) + "_users" + str(config.tuning_param['num_sims']) + ".txt"
rates = list()
st = state('User Based', rates, outfile_string, "INFO",
config.num_slices, config.tuning_param['num_recs'], config.tuning_param['num_sims'])
# Storage for the success rate.
for i in range(st.num_slices):
print "current slice: ", st.cur_slice
st.cur_slice += 1
train, test = utility.get_data_split(data, i)
success = do_user_cf(train, test)
st.rates = (success, len(test))
return st
