def process(path):
clicked, lines_evaluated, lines_total = 0, 0, 0
with file(sys.argv[2]) as inf:
for line in inf:
lines_total += 1
# Parsing the log line.
logline = line.strip().split()
chosen = int(logline.pop(7))
user_action = int(logline.pop(7))
time = int(logline[0])
user_features = [float(x) for x in logline[1:7]]
articles = [int(x) for x in logline[7:]]
# Getting the recommended article.
calculated = policy.reccomend(time, user_features, articles)
if not calculated in articles:
raise Exception("Article was not in the list.")
# Updating the policy.
if calculated == chosen:
policy.update(user_action)
clicked += user_action
lines_evaluated += 1
else:
policy.update(-1)
print "Evaluated %d/%d lines." % (lines_evaluated, lines_total)
print "CTR=%f" % (float(clicked) / lines_evaluated)
def process(path):
clicked, lines_evaluated, lines_total = 0, 0, 0
with file(sys.argv[2]) as inf:
for line in inf:
lines_total += 1
# Parsing the log line.
logline = line.strip().split()
chosen = int(logline.pop(7))
user_action = int(logline.pop(7))
time = int(logline[0])
user_features = [float(x) for x in logline[1:7]]
articles = [int(x) for x in logline[7:]]
# Getting the recommended article.
calculated = policy.reccomend(time, user_features, articles)
if not calculated in articles:
raise Exception("Article was not in the list.")
# Updating the policy.
if calculated == chosen:
policy.update(user_action)
clicked += user_action
lines_evaluated += 1
else:
policy.update(-1)
print "Evaluated %d/%d lines." % (lines_evaluated, lines_total)
print "CTR=%f" % (float(clicked) / lines_evaluated)
def process(path):
clicked, lines_evaluated, lines_total, time, positive_clicked, positive_reward = 0, 0, 0, 0, 0, 0
for i in range(10):
with gzip.open(path % (i+1), 'rb') as inf:
for line in inf:
lines_total += 1
# Parsing the log line.
logline = line.strip().split()
chosen = int(logline.pop(1))
user_action = int(logline.pop(1))
time = int(logline[0])
if chosen == 109528: # doesn't exist!
continue
user_features = [None] * 6
for feat in logline[2:8]:
user_features[int(feat[0]) - 1] = float(feat[2:])
articles = []
for feat in logline[8:]:
if feat[0] == '|':
article_id = int(feat[1:])
if article_id != 109528:
articles.append(article_id)
# Getting the recommended article.
calculated = policy.reccomend(time, user_features, articles)
if not calculated in articles:
raise Exception("Article was not in the list.")
# Updating the policy.
if calculated == chosen:
policy.update(user_action)
clicked += user_action
lines_evaluated += 1
positive_reward += user_action
else:
policy.update(-1)
positive_clicked += user_action
if lines_total % 10000 == 0:
tstamp = datetime.datetime.fromtimestamp(time).strftime('%Y-%m-%d %H:%M:%S')
print "%s\t\t+clicked %d/%d\t\tEvaluated %d/%d lines.\tCTR = %f" % (tstamp, positive_reward, positive_clicked, lines_evaluated, lines_total, float(clicked) / lines_evaluated)
positive_clicked = 0
positive_reward = 0
print "Evaluated %d/%d lines." % ( lines_evaluated, lines_total)
print "CTR=%f" % (float(clicked) / lines_evaluated)