def test_latest_small_implicit():
test_count = 8
evaluation_base = 4
ans = [0] * evaluation_base
for k in xrange(test_count):
method.generate_data_latest_small_implicit(test_count, k)
method.generate_matrix(implicit=True)
b = method.evaluate_implicit()
for x in xrange(evaluation_base):
ans[x] += b[x]
for x in xrange(evaluation_base):
ans[x] /= test_count
print ans
def test100k_explicit():
test_count = 5
evaluation_base = 2
ans = [0] * evaluation_base
for k in xrange(1, test_count + 1):
method.generate_data_100k_explicit(k)
method.generate_matrix(implicit=False)
b = method.evaluate_explicit()
for x in xrange(evaluation_base):
ans[x] += b[x]
for x in xrange(evaluation_base):
ans[x] /= test_count
print ans
def test1m_with_rating():
start = datetime.datetime.now()
ans = [0, 0]
for k in xrange(1, 6):
method.generate_data_1m_with_rating(8, k)
method.generate_matrix(with_rating=True)
b = method.evaluate_with_rating()
for x in xrange(0, 2):
ans[x] += b[x]
for x in xrange(0, 2):
ans[x] /= 8
print ans
end = datetime.datetime.now()
print datetime.timedelta(seconds=(end - start).total_seconds() / 8)
def test100k():
start = datetime.datetime.now()
ans = [0, 0, 0, 0]
for k in xrange(1, 6):
method.generate_data_100k(k)
method.generate_matrix()
b = method.evaluate()
for x in xrange(0, 4):
ans[x] += b[x]
for x in xrange(0, 4):
ans[x] /= 5
print ans
end = datetime.datetime.now()
print datetime.timedelta(seconds=(end - start).total_seconds() / 5)
def test(flag):
print("%10s%10s%15s%10s%10s%10s%20s%20s%20s%20s" %
("step", "gamma", "slow_rate", "lamb", "k", "ratio", "recall",
'precision', 'coverage', 'popularity'))
stplist = [50]
gamlist = [0.06, 0.02, 0.001]
slralist = [0.9]
lamblist = [0.025, 0.01]
klist = [10, 30, 60, 150]
ratlist = [5, 10, 15]
for steps in stplist:
for gamma in gamlist:
for slow_rate in slralist:
for lamb in lamblist:
for kl in klist:
for ratio in ratlist:
test_count = 5
result_num = 2 if flag else 4
ans = [0] * result_num
for k in xrange(1, test_count + 1):
method.read_data(flag, k)
method.generate_matrix(flag, steps, gamma,
slow_rate, lamb, kl,
ratio)
if flag:
b = method.evaluate_flag(flag)
else:
b = method.evaluate_notflag(flag)
for x in xrange(result_num):
ans[x] += b[x]
for x in xrange(result_num):
ans[x] /= test_count
print(
"%9d%11.3f%12.2f%14.3f%9d%8d%19.3f%%%19.3f%%%19.3f%%%20.3f"
% (steps, gamma, slow_rate, lamb, kl, ratio,
ans[0] * 100, ans[1] * 100, ans[2] * 100,
ans[3]))
